The purpose of this project is to explore a way to build a new hybrid CNN classifer by calculating the cosine similarity of feature vectors of 2 different images. The project is inspired by the concept of ensemble learning discussed in the AASD 4000 - Machine Learning I and an article about image search using cosine similarity of feature vectors of 2 different images. After building the new hybrid CNN classifer, it will be compared with other CNN transfer learning models. The link and literature review of the article is listed below:
The link of the article:
https://medium.com/swlh/image-based-search-engine-with-cnn-and-transfer-learning-153a1a3e58b4
This article demonstrate a way to make a simlpe image searcher by calculating the cosine similarity of feature vectors of 2 different images. The author can find a new image and search images look similar from his database.
Use the first to the second last layer of a pre-trained model (ResNet50) to build a feature vector extractor of images.
Use the extractor to calculate the feature vectors of all images in database.
Calculate the feature vector of a new image that cannot be found in database.
Calculate the cosine similarity between the feature vector of the new image and all the feature vectors of the database.
Print the most similar images by sorting.
The link of Kaggle: https://www.kaggle.com/datasets/gpiosenka/70-dog-breedsimage-data-set
A new hybrid CNN classifer for classifying the breeds of dog is built as follows:
Use the first to the second last layer of a ResNet50 model to build a first feature vector extractor.
Use the first to the second last layer of a Xception model to build a second feature vector extractor.
Use the 2 extractors to calculate the 2 feature vectors of each images in training set.
Calculate the 2 feature vectors of a new image that is being classified.
Calculate the ResNet50 cosine similarity of the ResNet50 feature vectors of the new image and the ResNet50 feature vectors of each image in each breed in the training set.
Calculate the Xception cosine similarity of the Xception feature vectors of the new image and the Xception feature vectors of each image in each breed in the training set.
Use the idea of ensemble learning, calculate the weighted sum of the above 2 cosine similarity of the new image and each image in each breed in the training set.
Save weighted sum for each breed if the weighted sum is larger than certain threshold.
Count the total number of saved weighted sum for each breed.
Classify the new image by comparing the the total number of saved weighted sum of each breed.
More details about the mechanism of the hybrid CNN classifer will be discussed in the notebook. The main takeaways from this notebook:
from keras.applications.resnet import ResNet50
from keras.applications import resnet
from keras.applications.xception import Xception
from keras.applications import xception
from keras.models import Model, load_model
from keras.preprocessing import image
from keras.utils import load_img, img_to_array
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import os, shutil, pathlib
from sklearn.metrics.pairwise import cosine_similarity
2023-04-06 14:24:15.514220: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
There are 70 breeds in the data set and the name of each breeds is saved in breed_list
breed_list = os.listdir('data/train/')
breed_list.remove('.DS_Store')
print(breed_list)
['Yorkie', 'Greyhound', 'Corgi', 'Mex Hairless', 'Boston Terrier', 'Blenheim', 'Scotch Terrier', 'Rottweiler', 'Elk Hound', 'Schnauzer', 'Bull Mastiff', 'Pomeranian', 'Pekinese', 'Pit Bull', 'Basenji', 'French Bulldog', 'Coyote', 'Komondor', 'Great Perenees', 'Basset', 'Great Dane', 'Dhole', 'Lhasa', 'Labrador', 'Chinese Crested', 'Cocker', 'Chihuahua', 'Shiba Inu', 'Newfoundland', 'Dalmation', 'Bull Terrier', 'Pug', 'Afghan', 'Cairn', 'Beagle', 'Cockapoo', 'Vizsla', 'Collie', 'Irish Wolfhound', 'American Spaniel', 'Maltese', 'African Wild Dog', 'Doberman', 'Shih-Tzu', 'German Sheperd', 'Labradoodle', 'Groenendael', 'Border Collie', 'Shar_Pei', 'Bearded Collie', 'Bermaise', 'Saint Bernard', 'Rhodesian', 'Siberian Husky', 'Japanese Spaniel', 'Borzoi', 'Chow', 'Airedale', 'Dingo', 'American Hairless', 'Irish Spaniel', 'Poodle', 'Malinois', 'Bichon Frise', 'Golden Retriever', 'Clumber', 'Boxer', 'Bulldog', 'Bloodhound', 'Bluetick']
After unzipping the file from Kaggle, we got a folder called data. we found that the number of images of each breed in train, valid and test folders in the data folder are NOT the same. To avoid the problem of data imbalance, we make a new folder called breed and three folders called train, valid and test inside it for preprocessing data.
os.mkdir('breed')
os.mkdir('breed/train')
os.mkdir('breed/valid')
os.mkdir('breed/test')
for i in breed_list:
os.mkdir(f'breed/train/{i}')
os.mkdir(f'breed/valid/{i}')
os.mkdir(f'breed/test/{i}')
The minimum number of training images in one of 70 breeds is 65. Therefore, we should choose number smaller than or equal to 65 as the number of training images from each breed for data preprocessing.
var1 = []
for breed in breed_list:
var1.append(len(os.listdir('data/train/'+f'{breed}')))
print(min(var1))
65
We choose 64, 8 and 8 images from each breed from the original train, valid and test set respectively. The reason is to maintain the ratio of 0.8, 0.1, 0.1.
for i in breed_list:
source = 'data/train/'+f'{i}'
for j in os.listdir(source)[:64]:
shutil.copy(src=source+'/'+f'{j}', dst='breed/train/'+f'{i}')
for i in breed_list:
source = 'data/valid/'+f'{i}'
for j in os.listdir(source)[:8]:
shutil.copy(src=source+'/'+f'{j}', dst='breed/valid/'+f'{i}')
for i in breed_list:
source = 'data/test/'+f'{i}'
for j in os.listdir(source)[:8]:
shutil.copy(src=source+'/'+f'{j}', dst='breed/test/'+f'{i}')
Now, we have totally 4480, 560 and 560 images for training, validation and testing.
By observation, some breeds look similar. For example, the color and shape of Basset and Beagle are close.
plt.figure(figsize=(7, 7))
img1 = mpimg.imread('breed/train/Basset/004.jpg')
ax = plt.subplot(1, 2, 1)
plt.imshow(img1)
plt.title('Basset')
plt.axis('off')
ax = plt.subplot(1, 2, 2)
img2 = mpimg.imread('breed/train/Beagle/010.jpg')
plt.imshow(img2)
plt.title('Beagle')
plt.axis('off')
plt.show()
For Maltese and Shih-Tzu, it is difficult to distinguish them by the naked eye.
plt.figure(figsize=(7, 7))
img1 = mpimg.imread('breed/train/Maltese/015.jpg')
ax = plt.subplot(1, 2, 1)
plt.imshow(img1)
plt.title('Maltese')
plt.axis('off')
ax = plt.subplot(1, 2, 2)
img2 = mpimg.imread('breed/train/Shih-Tzu/076.jpg')
plt.imshow(img2)
plt.title('Shih-Tzu')
plt.axis('off')
plt.show()
Above breeds could be the potential challenge of building the new hybrid model.
The main reference of the coding in Section 3 is the article mentioned above: Image based search engine with CNN and Transfer Learning.
The pre-trained model of ResNet50 and Xception are used to build feature vector extractors. Only the first to the second last layer are considered.
model_resnet = ResNet50(weights="imagenet", input_shape=(224, 224, 3))
model_resnet.summary()
Model: "resnet50"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 224, 224, 3 0 []
)]
conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 ['input_1[0][0]']
conv1_conv (Conv2D) (None, 112, 112, 64 9472 ['conv1_pad[0][0]']
)
conv1_bn (BatchNormalization) (None, 112, 112, 64 256 ['conv1_conv[0][0]']
)
conv1_relu (Activation) (None, 112, 112, 64 0 ['conv1_bn[0][0]']
)
pool1_pad (ZeroPadding2D) (None, 114, 114, 64 0 ['conv1_relu[0][0]']
)
pool1_pool (MaxPooling2D) (None, 56, 56, 64) 0 ['pool1_pad[0][0]']
conv2_block1_1_conv (Conv2D) (None, 56, 56, 64) 4160 ['pool1_pool[0][0]']
conv2_block1_1_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block1_1_conv[0][0]']
ization)
conv2_block1_1_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block1_1_bn[0][0]']
n)
conv2_block1_2_conv (Conv2D) (None, 56, 56, 64) 36928 ['conv2_block1_1_relu[0][0]']
conv2_block1_2_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block1_2_conv[0][0]']
ization)
conv2_block1_2_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block1_2_bn[0][0]']
n)
conv2_block1_0_conv (Conv2D) (None, 56, 56, 256) 16640 ['pool1_pool[0][0]']
conv2_block1_3_conv (Conv2D) (None, 56, 56, 256) 16640 ['conv2_block1_2_relu[0][0]']
conv2_block1_0_bn (BatchNormal (None, 56, 56, 256) 1024 ['conv2_block1_0_conv[0][0]']
ization)
conv2_block1_3_bn (BatchNormal (None, 56, 56, 256) 1024 ['conv2_block1_3_conv[0][0]']
ization)
conv2_block1_add (Add) (None, 56, 56, 256) 0 ['conv2_block1_0_bn[0][0]',
'conv2_block1_3_bn[0][0]']
conv2_block1_out (Activation) (None, 56, 56, 256) 0 ['conv2_block1_add[0][0]']
conv2_block2_1_conv (Conv2D) (None, 56, 56, 64) 16448 ['conv2_block1_out[0][0]']
conv2_block2_1_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block2_1_conv[0][0]']
ization)
conv2_block2_1_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block2_1_bn[0][0]']
n)
conv2_block2_2_conv (Conv2D) (None, 56, 56, 64) 36928 ['conv2_block2_1_relu[0][0]']
conv2_block2_2_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block2_2_conv[0][0]']
ization)
conv2_block2_2_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block2_2_bn[0][0]']
n)
conv2_block2_3_conv (Conv2D) (None, 56, 56, 256) 16640 ['conv2_block2_2_relu[0][0]']
conv2_block2_3_bn (BatchNormal (None, 56, 56, 256) 1024 ['conv2_block2_3_conv[0][0]']
ization)
conv2_block2_add (Add) (None, 56, 56, 256) 0 ['conv2_block1_out[0][0]',
'conv2_block2_3_bn[0][0]']
conv2_block2_out (Activation) (None, 56, 56, 256) 0 ['conv2_block2_add[0][0]']
conv2_block3_1_conv (Conv2D) (None, 56, 56, 64) 16448 ['conv2_block2_out[0][0]']
conv2_block3_1_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block3_1_conv[0][0]']
ization)
conv2_block3_1_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block3_1_bn[0][0]']
n)
conv2_block3_2_conv (Conv2D) (None, 56, 56, 64) 36928 ['conv2_block3_1_relu[0][0]']
conv2_block3_2_bn (BatchNormal (None, 56, 56, 64) 256 ['conv2_block3_2_conv[0][0]']
ization)
conv2_block3_2_relu (Activatio (None, 56, 56, 64) 0 ['conv2_block3_2_bn[0][0]']
n)
conv2_block3_3_conv (Conv2D) (None, 56, 56, 256) 16640 ['conv2_block3_2_relu[0][0]']
conv2_block3_3_bn (BatchNormal (None, 56, 56, 256) 1024 ['conv2_block3_3_conv[0][0]']
ization)
conv2_block3_add (Add) (None, 56, 56, 256) 0 ['conv2_block2_out[0][0]',
'conv2_block3_3_bn[0][0]']
conv2_block3_out (Activation) (None, 56, 56, 256) 0 ['conv2_block3_add[0][0]']
conv3_block1_1_conv (Conv2D) (None, 28, 28, 128) 32896 ['conv2_block3_out[0][0]']
conv3_block1_1_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block1_1_conv[0][0]']
ization)
conv3_block1_1_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block1_1_bn[0][0]']
n)
conv3_block1_2_conv (Conv2D) (None, 28, 28, 128) 147584 ['conv3_block1_1_relu[0][0]']
conv3_block1_2_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block1_2_conv[0][0]']
ization)
conv3_block1_2_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block1_2_bn[0][0]']
n)
conv3_block1_0_conv (Conv2D) (None, 28, 28, 512) 131584 ['conv2_block3_out[0][0]']
conv3_block1_3_conv (Conv2D) (None, 28, 28, 512) 66048 ['conv3_block1_2_relu[0][0]']
conv3_block1_0_bn (BatchNormal (None, 28, 28, 512) 2048 ['conv3_block1_0_conv[0][0]']
ization)
conv3_block1_3_bn (BatchNormal (None, 28, 28, 512) 2048 ['conv3_block1_3_conv[0][0]']
ization)
conv3_block1_add (Add) (None, 28, 28, 512) 0 ['conv3_block1_0_bn[0][0]',
'conv3_block1_3_bn[0][0]']
conv3_block1_out (Activation) (None, 28, 28, 512) 0 ['conv3_block1_add[0][0]']
conv3_block2_1_conv (Conv2D) (None, 28, 28, 128) 65664 ['conv3_block1_out[0][0]']
conv3_block2_1_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block2_1_conv[0][0]']
ization)
conv3_block2_1_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block2_1_bn[0][0]']
n)
conv3_block2_2_conv (Conv2D) (None, 28, 28, 128) 147584 ['conv3_block2_1_relu[0][0]']
conv3_block2_2_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block2_2_conv[0][0]']
ization)
conv3_block2_2_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block2_2_bn[0][0]']
n)
conv3_block2_3_conv (Conv2D) (None, 28, 28, 512) 66048 ['conv3_block2_2_relu[0][0]']
conv3_block2_3_bn (BatchNormal (None, 28, 28, 512) 2048 ['conv3_block2_3_conv[0][0]']
ization)
conv3_block2_add (Add) (None, 28, 28, 512) 0 ['conv3_block1_out[0][0]',
'conv3_block2_3_bn[0][0]']
conv3_block2_out (Activation) (None, 28, 28, 512) 0 ['conv3_block2_add[0][0]']
conv3_block3_1_conv (Conv2D) (None, 28, 28, 128) 65664 ['conv3_block2_out[0][0]']
conv3_block3_1_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block3_1_conv[0][0]']
ization)
conv3_block3_1_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block3_1_bn[0][0]']
n)
conv3_block3_2_conv (Conv2D) (None, 28, 28, 128) 147584 ['conv3_block3_1_relu[0][0]']
conv3_block3_2_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block3_2_conv[0][0]']
ization)
conv3_block3_2_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block3_2_bn[0][0]']
n)
conv3_block3_3_conv (Conv2D) (None, 28, 28, 512) 66048 ['conv3_block3_2_relu[0][0]']
conv3_block3_3_bn (BatchNormal (None, 28, 28, 512) 2048 ['conv3_block3_3_conv[0][0]']
ization)
conv3_block3_add (Add) (None, 28, 28, 512) 0 ['conv3_block2_out[0][0]',
'conv3_block3_3_bn[0][0]']
conv3_block3_out (Activation) (None, 28, 28, 512) 0 ['conv3_block3_add[0][0]']
conv3_block4_1_conv (Conv2D) (None, 28, 28, 128) 65664 ['conv3_block3_out[0][0]']
conv3_block4_1_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block4_1_conv[0][0]']
ization)
conv3_block4_1_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block4_1_bn[0][0]']
n)
conv3_block4_2_conv (Conv2D) (None, 28, 28, 128) 147584 ['conv3_block4_1_relu[0][0]']
conv3_block4_2_bn (BatchNormal (None, 28, 28, 128) 512 ['conv3_block4_2_conv[0][0]']
ization)
conv3_block4_2_relu (Activatio (None, 28, 28, 128) 0 ['conv3_block4_2_bn[0][0]']
n)
conv3_block4_3_conv (Conv2D) (None, 28, 28, 512) 66048 ['conv3_block4_2_relu[0][0]']
conv3_block4_3_bn (BatchNormal (None, 28, 28, 512) 2048 ['conv3_block4_3_conv[0][0]']
ization)
conv3_block4_add (Add) (None, 28, 28, 512) 0 ['conv3_block3_out[0][0]',
'conv3_block4_3_bn[0][0]']
conv3_block4_out (Activation) (None, 28, 28, 512) 0 ['conv3_block4_add[0][0]']
conv4_block1_1_conv (Conv2D) (None, 14, 14, 256) 131328 ['conv3_block4_out[0][0]']
conv4_block1_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block1_1_conv[0][0]']
ization)
conv4_block1_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block1_1_bn[0][0]']
n)
conv4_block1_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block1_1_relu[0][0]']
conv4_block1_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block1_2_conv[0][0]']
ization)
conv4_block1_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block1_2_bn[0][0]']
n)
conv4_block1_0_conv (Conv2D) (None, 14, 14, 1024 525312 ['conv3_block4_out[0][0]']
)
conv4_block1_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block1_2_relu[0][0]']
)
conv4_block1_0_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block1_0_conv[0][0]']
ization) )
conv4_block1_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block1_3_conv[0][0]']
ization) )
conv4_block1_add (Add) (None, 14, 14, 1024 0 ['conv4_block1_0_bn[0][0]',
) 'conv4_block1_3_bn[0][0]']
conv4_block1_out (Activation) (None, 14, 14, 1024 0 ['conv4_block1_add[0][0]']
)
conv4_block2_1_conv (Conv2D) (None, 14, 14, 256) 262400 ['conv4_block1_out[0][0]']
conv4_block2_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block2_1_conv[0][0]']
ization)
conv4_block2_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block2_1_bn[0][0]']
n)
conv4_block2_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block2_1_relu[0][0]']
conv4_block2_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block2_2_conv[0][0]']
ization)
conv4_block2_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block2_2_bn[0][0]']
n)
conv4_block2_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block2_2_relu[0][0]']
)
conv4_block2_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block2_3_conv[0][0]']
ization) )
conv4_block2_add (Add) (None, 14, 14, 1024 0 ['conv4_block1_out[0][0]',
) 'conv4_block2_3_bn[0][0]']
conv4_block2_out (Activation) (None, 14, 14, 1024 0 ['conv4_block2_add[0][0]']
)
conv4_block3_1_conv (Conv2D) (None, 14, 14, 256) 262400 ['conv4_block2_out[0][0]']
conv4_block3_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block3_1_conv[0][0]']
ization)
conv4_block3_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block3_1_bn[0][0]']
n)
conv4_block3_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block3_1_relu[0][0]']
conv4_block3_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block3_2_conv[0][0]']
ization)
conv4_block3_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block3_2_bn[0][0]']
n)
conv4_block3_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block3_2_relu[0][0]']
)
conv4_block3_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block3_3_conv[0][0]']
ization) )
conv4_block3_add (Add) (None, 14, 14, 1024 0 ['conv4_block2_out[0][0]',
) 'conv4_block3_3_bn[0][0]']
conv4_block3_out (Activation) (None, 14, 14, 1024 0 ['conv4_block3_add[0][0]']
)
conv4_block4_1_conv (Conv2D) (None, 14, 14, 256) 262400 ['conv4_block3_out[0][0]']
conv4_block4_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block4_1_conv[0][0]']
ization)
conv4_block4_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block4_1_bn[0][0]']
n)
conv4_block4_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block4_1_relu[0][0]']
conv4_block4_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block4_2_conv[0][0]']
ization)
conv4_block4_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block4_2_bn[0][0]']
n)
conv4_block4_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block4_2_relu[0][0]']
)
conv4_block4_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block4_3_conv[0][0]']
ization) )
conv4_block4_add (Add) (None, 14, 14, 1024 0 ['conv4_block3_out[0][0]',
) 'conv4_block4_3_bn[0][0]']
conv4_block4_out (Activation) (None, 14, 14, 1024 0 ['conv4_block4_add[0][0]']
)
conv4_block5_1_conv (Conv2D) (None, 14, 14, 256) 262400 ['conv4_block4_out[0][0]']
conv4_block5_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block5_1_conv[0][0]']
ization)
conv4_block5_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block5_1_bn[0][0]']
n)
conv4_block5_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block5_1_relu[0][0]']
conv4_block5_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block5_2_conv[0][0]']
ization)
conv4_block5_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block5_2_bn[0][0]']
n)
conv4_block5_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block5_2_relu[0][0]']
)
conv4_block5_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block5_3_conv[0][0]']
ization) )
conv4_block5_add (Add) (None, 14, 14, 1024 0 ['conv4_block4_out[0][0]',
) 'conv4_block5_3_bn[0][0]']
conv4_block5_out (Activation) (None, 14, 14, 1024 0 ['conv4_block5_add[0][0]']
)
conv4_block6_1_conv (Conv2D) (None, 14, 14, 256) 262400 ['conv4_block5_out[0][0]']
conv4_block6_1_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block6_1_conv[0][0]']
ization)
conv4_block6_1_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block6_1_bn[0][0]']
n)
conv4_block6_2_conv (Conv2D) (None, 14, 14, 256) 590080 ['conv4_block6_1_relu[0][0]']
conv4_block6_2_bn (BatchNormal (None, 14, 14, 256) 1024 ['conv4_block6_2_conv[0][0]']
ization)
conv4_block6_2_relu (Activatio (None, 14, 14, 256) 0 ['conv4_block6_2_bn[0][0]']
n)
conv4_block6_3_conv (Conv2D) (None, 14, 14, 1024 263168 ['conv4_block6_2_relu[0][0]']
)
conv4_block6_3_bn (BatchNormal (None, 14, 14, 1024 4096 ['conv4_block6_3_conv[0][0]']
ization) )
conv4_block6_add (Add) (None, 14, 14, 1024 0 ['conv4_block5_out[0][0]',
) 'conv4_block6_3_bn[0][0]']
conv4_block6_out (Activation) (None, 14, 14, 1024 0 ['conv4_block6_add[0][0]']
)
conv5_block1_1_conv (Conv2D) (None, 7, 7, 512) 524800 ['conv4_block6_out[0][0]']
conv5_block1_1_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block1_1_conv[0][0]']
ization)
conv5_block1_1_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block1_1_bn[0][0]']
n)
conv5_block1_2_conv (Conv2D) (None, 7, 7, 512) 2359808 ['conv5_block1_1_relu[0][0]']
conv5_block1_2_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block1_2_conv[0][0]']
ization)
conv5_block1_2_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block1_2_bn[0][0]']
n)
conv5_block1_0_conv (Conv2D) (None, 7, 7, 2048) 2099200 ['conv4_block6_out[0][0]']
conv5_block1_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 ['conv5_block1_2_relu[0][0]']
conv5_block1_0_bn (BatchNormal (None, 7, 7, 2048) 8192 ['conv5_block1_0_conv[0][0]']
ization)
conv5_block1_3_bn (BatchNormal (None, 7, 7, 2048) 8192 ['conv5_block1_3_conv[0][0]']
ization)
conv5_block1_add (Add) (None, 7, 7, 2048) 0 ['conv5_block1_0_bn[0][0]',
'conv5_block1_3_bn[0][0]']
conv5_block1_out (Activation) (None, 7, 7, 2048) 0 ['conv5_block1_add[0][0]']
conv5_block2_1_conv (Conv2D) (None, 7, 7, 512) 1049088 ['conv5_block1_out[0][0]']
conv5_block2_1_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block2_1_conv[0][0]']
ization)
conv5_block2_1_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block2_1_bn[0][0]']
n)
conv5_block2_2_conv (Conv2D) (None, 7, 7, 512) 2359808 ['conv5_block2_1_relu[0][0]']
conv5_block2_2_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block2_2_conv[0][0]']
ization)
conv5_block2_2_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block2_2_bn[0][0]']
n)
conv5_block2_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 ['conv5_block2_2_relu[0][0]']
conv5_block2_3_bn (BatchNormal (None, 7, 7, 2048) 8192 ['conv5_block2_3_conv[0][0]']
ization)
conv5_block2_add (Add) (None, 7, 7, 2048) 0 ['conv5_block1_out[0][0]',
'conv5_block2_3_bn[0][0]']
conv5_block2_out (Activation) (None, 7, 7, 2048) 0 ['conv5_block2_add[0][0]']
conv5_block3_1_conv (Conv2D) (None, 7, 7, 512) 1049088 ['conv5_block2_out[0][0]']
conv5_block3_1_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block3_1_conv[0][0]']
ization)
conv5_block3_1_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block3_1_bn[0][0]']
n)
conv5_block3_2_conv (Conv2D) (None, 7, 7, 512) 2359808 ['conv5_block3_1_relu[0][0]']
conv5_block3_2_bn (BatchNormal (None, 7, 7, 512) 2048 ['conv5_block3_2_conv[0][0]']
ization)
conv5_block3_2_relu (Activatio (None, 7, 7, 512) 0 ['conv5_block3_2_bn[0][0]']
n)
conv5_block3_3_conv (Conv2D) (None, 7, 7, 2048) 1050624 ['conv5_block3_2_relu[0][0]']
conv5_block3_3_bn (BatchNormal (None, 7, 7, 2048) 8192 ['conv5_block3_3_conv[0][0]']
ization)
conv5_block3_add (Add) (None, 7, 7, 2048) 0 ['conv5_block2_out[0][0]',
'conv5_block3_3_bn[0][0]']
conv5_block3_out (Activation) (None, 7, 7, 2048) 0 ['conv5_block3_add[0][0]']
avg_pool (GlobalAveragePooling (None, 2048) 0 ['conv5_block3_out[0][0]']
2D)
predictions (Dense) (None, 1000) 2049000 ['avg_pool[0][0]']
==================================================================================================
Total params: 25,636,712
Trainable params: 25,583,592
Non-trainable params: 53,120
__________________________________________________________________________________________________
model_xception=Xception(weights='imagenet',input_shape=(299, 299, 3))
model_xception.summary()
Model: "xception"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_2 (InputLayer) [(None, 299, 299, 3 0 []
)]
block1_conv1 (Conv2D) (None, 149, 149, 32 864 ['input_2[0][0]']
)
block1_conv1_bn (BatchNormaliz (None, 149, 149, 32 128 ['block1_conv1[0][0]']
ation) )
block1_conv1_act (Activation) (None, 149, 149, 32 0 ['block1_conv1_bn[0][0]']
)
block1_conv2 (Conv2D) (None, 147, 147, 64 18432 ['block1_conv1_act[0][0]']
)
block1_conv2_bn (BatchNormaliz (None, 147, 147, 64 256 ['block1_conv2[0][0]']
ation) )
block1_conv2_act (Activation) (None, 147, 147, 64 0 ['block1_conv2_bn[0][0]']
)
block2_sepconv1 (SeparableConv (None, 147, 147, 12 8768 ['block1_conv2_act[0][0]']
2D) 8)
block2_sepconv1_bn (BatchNorma (None, 147, 147, 12 512 ['block2_sepconv1[0][0]']
lization) 8)
block2_sepconv2_act (Activatio (None, 147, 147, 12 0 ['block2_sepconv1_bn[0][0]']
n) 8)
block2_sepconv2 (SeparableConv (None, 147, 147, 12 17536 ['block2_sepconv2_act[0][0]']
2D) 8)
block2_sepconv2_bn (BatchNorma (None, 147, 147, 12 512 ['block2_sepconv2[0][0]']
lization) 8)
conv2d (Conv2D) (None, 74, 74, 128) 8192 ['block1_conv2_act[0][0]']
block2_pool (MaxPooling2D) (None, 74, 74, 128) 0 ['block2_sepconv2_bn[0][0]']
batch_normalization (BatchNorm (None, 74, 74, 128) 512 ['conv2d[0][0]']
alization)
add (Add) (None, 74, 74, 128) 0 ['block2_pool[0][0]',
'batch_normalization[0][0]']
block3_sepconv1_act (Activatio (None, 74, 74, 128) 0 ['add[0][0]']
n)
block3_sepconv1 (SeparableConv (None, 74, 74, 256) 33920 ['block3_sepconv1_act[0][0]']
2D)
block3_sepconv1_bn (BatchNorma (None, 74, 74, 256) 1024 ['block3_sepconv1[0][0]']
lization)
block3_sepconv2_act (Activatio (None, 74, 74, 256) 0 ['block3_sepconv1_bn[0][0]']
n)
block3_sepconv2 (SeparableConv (None, 74, 74, 256) 67840 ['block3_sepconv2_act[0][0]']
2D)
block3_sepconv2_bn (BatchNorma (None, 74, 74, 256) 1024 ['block3_sepconv2[0][0]']
lization)
conv2d_1 (Conv2D) (None, 37, 37, 256) 32768 ['add[0][0]']
block3_pool (MaxPooling2D) (None, 37, 37, 256) 0 ['block3_sepconv2_bn[0][0]']
batch_normalization_1 (BatchNo (None, 37, 37, 256) 1024 ['conv2d_1[0][0]']
rmalization)
add_1 (Add) (None, 37, 37, 256) 0 ['block3_pool[0][0]',
'batch_normalization_1[0][0]']
block4_sepconv1_act (Activatio (None, 37, 37, 256) 0 ['add_1[0][0]']
n)
block4_sepconv1 (SeparableConv (None, 37, 37, 728) 188672 ['block4_sepconv1_act[0][0]']
2D)
block4_sepconv1_bn (BatchNorma (None, 37, 37, 728) 2912 ['block4_sepconv1[0][0]']
lization)
block4_sepconv2_act (Activatio (None, 37, 37, 728) 0 ['block4_sepconv1_bn[0][0]']
n)
block4_sepconv2 (SeparableConv (None, 37, 37, 728) 536536 ['block4_sepconv2_act[0][0]']
2D)
block4_sepconv2_bn (BatchNorma (None, 37, 37, 728) 2912 ['block4_sepconv2[0][0]']
lization)
conv2d_2 (Conv2D) (None, 19, 19, 728) 186368 ['add_1[0][0]']
block4_pool (MaxPooling2D) (None, 19, 19, 728) 0 ['block4_sepconv2_bn[0][0]']
batch_normalization_2 (BatchNo (None, 19, 19, 728) 2912 ['conv2d_2[0][0]']
rmalization)
add_2 (Add) (None, 19, 19, 728) 0 ['block4_pool[0][0]',
'batch_normalization_2[0][0]']
block5_sepconv1_act (Activatio (None, 19, 19, 728) 0 ['add_2[0][0]']
n)
block5_sepconv1 (SeparableConv (None, 19, 19, 728) 536536 ['block5_sepconv1_act[0][0]']
2D)
block5_sepconv1_bn (BatchNorma (None, 19, 19, 728) 2912 ['block5_sepconv1[0][0]']
lization)
block5_sepconv2_act (Activatio (None, 19, 19, 728) 0 ['block5_sepconv1_bn[0][0]']
n)
block5_sepconv2 (SeparableConv (None, 19, 19, 728) 536536 ['block5_sepconv2_act[0][0]']
2D)
block5_sepconv2_bn (BatchNorma (None, 19, 19, 728) 2912 ['block5_sepconv2[0][0]']
lization)
block5_sepconv3_act (Activatio (None, 19, 19, 728) 0 ['block5_sepconv2_bn[0][0]']
n)
block5_sepconv3 (SeparableConv (None, 19, 19, 728) 536536 ['block5_sepconv3_act[0][0]']
2D)
block5_sepconv3_bn (BatchNorma (None, 19, 19, 728) 2912 ['block5_sepconv3[0][0]']
lization)
add_3 (Add) (None, 19, 19, 728) 0 ['block5_sepconv3_bn[0][0]',
'add_2[0][0]']
block6_sepconv1_act (Activatio (None, 19, 19, 728) 0 ['add_3[0][0]']
n)
block6_sepconv1 (SeparableConv (None, 19, 19, 728) 536536 ['block6_sepconv1_act[0][0]']
2D)
block6_sepconv1_bn (BatchNorma (None, 19, 19, 728) 2912 ['block6_sepconv1[0][0]']
lization)
block6_sepconv2_act (Activatio (None, 19, 19, 728) 0 ['block6_sepconv1_bn[0][0]']
n)
block6_sepconv2 (SeparableConv (None, 19, 19, 728) 536536 ['block6_sepconv2_act[0][0]']
2D)
block6_sepconv2_bn (BatchNorma (None, 19, 19, 728) 2912 ['block6_sepconv2[0][0]']
lization)
block6_sepconv3_act (Activatio (None, 19, 19, 728) 0 ['block6_sepconv2_bn[0][0]']
n)
block6_sepconv3 (SeparableConv (None, 19, 19, 728) 536536 ['block6_sepconv3_act[0][0]']
2D)
block6_sepconv3_bn (BatchNorma (None, 19, 19, 728) 2912 ['block6_sepconv3[0][0]']
lization)
add_4 (Add) (None, 19, 19, 728) 0 ['block6_sepconv3_bn[0][0]',
'add_3[0][0]']
block7_sepconv1_act (Activatio (None, 19, 19, 728) 0 ['add_4[0][0]']
n)
block7_sepconv1 (SeparableConv (None, 19, 19, 728) 536536 ['block7_sepconv1_act[0][0]']
2D)
block7_sepconv1_bn (BatchNorma (None, 19, 19, 728) 2912 ['block7_sepconv1[0][0]']
lization)
block7_sepconv2_act (Activatio (None, 19, 19, 728) 0 ['block7_sepconv1_bn[0][0]']
n)
block7_sepconv2 (SeparableConv (None, 19, 19, 728) 536536 ['block7_sepconv2_act[0][0]']
2D)
block7_sepconv2_bn (BatchNorma (None, 19, 19, 728) 2912 ['block7_sepconv2[0][0]']
lization)
block7_sepconv3_act (Activatio (None, 19, 19, 728) 0 ['block7_sepconv2_bn[0][0]']
n)
block7_sepconv3 (SeparableConv (None, 19, 19, 728) 536536 ['block7_sepconv3_act[0][0]']
2D)
block7_sepconv3_bn (BatchNorma (None, 19, 19, 728) 2912 ['block7_sepconv3[0][0]']
lization)
add_5 (Add) (None, 19, 19, 728) 0 ['block7_sepconv3_bn[0][0]',
'add_4[0][0]']
block8_sepconv1_act (Activatio (None, 19, 19, 728) 0 ['add_5[0][0]']
n)
block8_sepconv1 (SeparableConv (None, 19, 19, 728) 536536 ['block8_sepconv1_act[0][0]']
2D)
block8_sepconv1_bn (BatchNorma (None, 19, 19, 728) 2912 ['block8_sepconv1[0][0]']
lization)
block8_sepconv2_act (Activatio (None, 19, 19, 728) 0 ['block8_sepconv1_bn[0][0]']
n)
block8_sepconv2 (SeparableConv (None, 19, 19, 728) 536536 ['block8_sepconv2_act[0][0]']
2D)
block8_sepconv2_bn (BatchNorma (None, 19, 19, 728) 2912 ['block8_sepconv2[0][0]']
lization)
block8_sepconv3_act (Activatio (None, 19, 19, 728) 0 ['block8_sepconv2_bn[0][0]']
n)
block8_sepconv3 (SeparableConv (None, 19, 19, 728) 536536 ['block8_sepconv3_act[0][0]']
2D)
block8_sepconv3_bn (BatchNorma (None, 19, 19, 728) 2912 ['block8_sepconv3[0][0]']
lization)
add_6 (Add) (None, 19, 19, 728) 0 ['block8_sepconv3_bn[0][0]',
'add_5[0][0]']
block9_sepconv1_act (Activatio (None, 19, 19, 728) 0 ['add_6[0][0]']
n)
block9_sepconv1 (SeparableConv (None, 19, 19, 728) 536536 ['block9_sepconv1_act[0][0]']
2D)
block9_sepconv1_bn (BatchNorma (None, 19, 19, 728) 2912 ['block9_sepconv1[0][0]']
lization)
block9_sepconv2_act (Activatio (None, 19, 19, 728) 0 ['block9_sepconv1_bn[0][0]']
n)
block9_sepconv2 (SeparableConv (None, 19, 19, 728) 536536 ['block9_sepconv2_act[0][0]']
2D)
block9_sepconv2_bn (BatchNorma (None, 19, 19, 728) 2912 ['block9_sepconv2[0][0]']
lization)
block9_sepconv3_act (Activatio (None, 19, 19, 728) 0 ['block9_sepconv2_bn[0][0]']
n)
block9_sepconv3 (SeparableConv (None, 19, 19, 728) 536536 ['block9_sepconv3_act[0][0]']
2D)
block9_sepconv3_bn (BatchNorma (None, 19, 19, 728) 2912 ['block9_sepconv3[0][0]']
lization)
add_7 (Add) (None, 19, 19, 728) 0 ['block9_sepconv3_bn[0][0]',
'add_6[0][0]']
block10_sepconv1_act (Activati (None, 19, 19, 728) 0 ['add_7[0][0]']
on)
block10_sepconv1 (SeparableCon (None, 19, 19, 728) 536536 ['block10_sepconv1_act[0][0]']
v2D)
block10_sepconv1_bn (BatchNorm (None, 19, 19, 728) 2912 ['block10_sepconv1[0][0]']
alization)
block10_sepconv2_act (Activati (None, 19, 19, 728) 0 ['block10_sepconv1_bn[0][0]']
on)
block10_sepconv2 (SeparableCon (None, 19, 19, 728) 536536 ['block10_sepconv2_act[0][0]']
v2D)
block10_sepconv2_bn (BatchNorm (None, 19, 19, 728) 2912 ['block10_sepconv2[0][0]']
alization)
block10_sepconv3_act (Activati (None, 19, 19, 728) 0 ['block10_sepconv2_bn[0][0]']
on)
block10_sepconv3 (SeparableCon (None, 19, 19, 728) 536536 ['block10_sepconv3_act[0][0]']
v2D)
block10_sepconv3_bn (BatchNorm (None, 19, 19, 728) 2912 ['block10_sepconv3[0][0]']
alization)
add_8 (Add) (None, 19, 19, 728) 0 ['block10_sepconv3_bn[0][0]',
'add_7[0][0]']
block11_sepconv1_act (Activati (None, 19, 19, 728) 0 ['add_8[0][0]']
on)
block11_sepconv1 (SeparableCon (None, 19, 19, 728) 536536 ['block11_sepconv1_act[0][0]']
v2D)
block11_sepconv1_bn (BatchNorm (None, 19, 19, 728) 2912 ['block11_sepconv1[0][0]']
alization)
block11_sepconv2_act (Activati (None, 19, 19, 728) 0 ['block11_sepconv1_bn[0][0]']
on)
block11_sepconv2 (SeparableCon (None, 19, 19, 728) 536536 ['block11_sepconv2_act[0][0]']
v2D)
block11_sepconv2_bn (BatchNorm (None, 19, 19, 728) 2912 ['block11_sepconv2[0][0]']
alization)
block11_sepconv3_act (Activati (None, 19, 19, 728) 0 ['block11_sepconv2_bn[0][0]']
on)
block11_sepconv3 (SeparableCon (None, 19, 19, 728) 536536 ['block11_sepconv3_act[0][0]']
v2D)
block11_sepconv3_bn (BatchNorm (None, 19, 19, 728) 2912 ['block11_sepconv3[0][0]']
alization)
add_9 (Add) (None, 19, 19, 728) 0 ['block11_sepconv3_bn[0][0]',
'add_8[0][0]']
block12_sepconv1_act (Activati (None, 19, 19, 728) 0 ['add_9[0][0]']
on)
block12_sepconv1 (SeparableCon (None, 19, 19, 728) 536536 ['block12_sepconv1_act[0][0]']
v2D)
block12_sepconv1_bn (BatchNorm (None, 19, 19, 728) 2912 ['block12_sepconv1[0][0]']
alization)
block12_sepconv2_act (Activati (None, 19, 19, 728) 0 ['block12_sepconv1_bn[0][0]']
on)
block12_sepconv2 (SeparableCon (None, 19, 19, 728) 536536 ['block12_sepconv2_act[0][0]']
v2D)
block12_sepconv2_bn (BatchNorm (None, 19, 19, 728) 2912 ['block12_sepconv2[0][0]']
alization)
block12_sepconv3_act (Activati (None, 19, 19, 728) 0 ['block12_sepconv2_bn[0][0]']
on)
block12_sepconv3 (SeparableCon (None, 19, 19, 728) 536536 ['block12_sepconv3_act[0][0]']
v2D)
block12_sepconv3_bn (BatchNorm (None, 19, 19, 728) 2912 ['block12_sepconv3[0][0]']
alization)
add_10 (Add) (None, 19, 19, 728) 0 ['block12_sepconv3_bn[0][0]',
'add_9[0][0]']
block13_sepconv1_act (Activati (None, 19, 19, 728) 0 ['add_10[0][0]']
on)
block13_sepconv1 (SeparableCon (None, 19, 19, 728) 536536 ['block13_sepconv1_act[0][0]']
v2D)
block13_sepconv1_bn (BatchNorm (None, 19, 19, 728) 2912 ['block13_sepconv1[0][0]']
alization)
block13_sepconv2_act (Activati (None, 19, 19, 728) 0 ['block13_sepconv1_bn[0][0]']
on)
block13_sepconv2 (SeparableCon (None, 19, 19, 1024 752024 ['block13_sepconv2_act[0][0]']
v2D) )
block13_sepconv2_bn (BatchNorm (None, 19, 19, 1024 4096 ['block13_sepconv2[0][0]']
alization) )
conv2d_3 (Conv2D) (None, 10, 10, 1024 745472 ['add_10[0][0]']
)
block13_pool (MaxPooling2D) (None, 10, 10, 1024 0 ['block13_sepconv2_bn[0][0]']
)
batch_normalization_3 (BatchNo (None, 10, 10, 1024 4096 ['conv2d_3[0][0]']
rmalization) )
add_11 (Add) (None, 10, 10, 1024 0 ['block13_pool[0][0]',
) 'batch_normalization_3[0][0]']
block14_sepconv1 (SeparableCon (None, 10, 10, 1536 1582080 ['add_11[0][0]']
v2D) )
block14_sepconv1_bn (BatchNorm (None, 10, 10, 1536 6144 ['block14_sepconv1[0][0]']
alization) )
block14_sepconv1_act (Activati (None, 10, 10, 1536 0 ['block14_sepconv1_bn[0][0]']
on) )
block14_sepconv2 (SeparableCon (None, 10, 10, 2048 3159552 ['block14_sepconv1_act[0][0]']
v2D) )
block14_sepconv2_bn (BatchNorm (None, 10, 10, 2048 8192 ['block14_sepconv2[0][0]']
alization) )
block14_sepconv2_act (Activati (None, 10, 10, 2048 0 ['block14_sepconv2_bn[0][0]']
on) )
avg_pool (GlobalAveragePooling (None, 2048) 0 ['block14_sepconv2_act[0][0]']
2D)
predictions (Dense) (None, 1000) 2049000 ['avg_pool[0][0]']
==================================================================================================
Total params: 22,910,480
Trainable params: 22,855,952
Non-trainable params: 54,528
__________________________________________________________________________________________________
model_n_resnet = Model(model_resnet.input, model_resnet.layers[-2].output)
model_n_xception = Model(model_xception.input, model_xception.layers[-2].output)
preprocess_img_resnet and preprocess_img_xception are made to preprocess the image into proper format and data type for their corresponding feature vector extractors. These two functions are used in the encode_img_resnet and encode_img_xception respectively.
def preprocess_img_resnet(img):
img = load_img(img, target_size=(224, 224,))
img = img_to_array(img)
img = np.expand_dims(img, axis=0)
img = resnet.preprocess_input(img)
return img
def preprocess_img_xception(img):
img = load_img(img, target_size=(299, 299,))
img = img_to_array(img)
img = np.expand_dims(img, axis=0)
img = xception.preprocess_input(img)
return img
encode_img_resnet and encode_img_xception will return the ResNet50 feature vector and Xception feature vector respectively of a particular image. The vectors will be used to calculate the cosine similarity.
def encode_img_resnet(img):
img = preprocess_img_resnet(img)
feature_v = model_n_resnet.predict(img)
feature_v = feature_v.reshape((-1,))
return feature_v
def encode_img_xception(img):
img = preprocess_img_xception(img)
feature_v = model_n_xception.predict(img)
feature_v = feature_v.reshape((-1,))
return feature_v
feature_resnet and feature_xception are two dictionaries for storing the ResNet50 feature vectors and Xception feature vectors for each breed. As we have 70 breeds to consider, there are 70 keys indicating the name of each breed in feature_resnet and feature_xception.
feature_resnet = {}
feature_xception = {}
for i in breed_list:
feature_resnet[f'{i}'] = []
feature_xception[f'{i}'] = []
For each key, there is a corresponding list for storing the 64 feature vectors. The following nested for loop is adding the feature vectors into each list by the 2 functions encode_img_resnet and encode_img_xception.
for i in breed_list:
temp_path = 'breed/train/'+f'{i}'
print(temp_path)
print(os.listdir(temp_path))
for j in os.listdir(temp_path):
feature_vector = encode_img_resnet(temp_path+'/'+f'{j}')
feature_resnet[f'{i}'].append(feature_vector)
feature_vector = encode_img_xception(temp_path+'/'+f'{j}')
feature_xception[f'{i}'].append(feature_vector)
breed/train/Yorkie ['63.jpg', '77.jpg', '76.jpg', '62.jpg', '74.jpg', '60.jpg', '48.jpg', '49.jpg', '61.jpg', '75.jpg', '59.jpg', '71.jpg', '65.jpg', '64.jpg', '70.jpg', '58.jpg', '66.jpg', '72.jpg', '73.jpg', '67.jpg', '14.jpg', '28.jpg', '29.jpg', '15.jpg', '01.jpg', '17.jpg', '03.jpg', '02.jpg', '16.jpg', '12.jpg', '06.jpg', '07.jpg', '13.jpg', '39.jpg', '05.jpg', '11.jpg', '10.jpg', '04.jpg', '38.jpg', '21.jpg', '35.jpg', '09.jpg', '08.jpg', '34.jpg', '20.jpg', '36.jpg', '22.jpg', '23.jpg', '37.jpg', '33.jpg', '27.jpg', '26.jpg', '32.jpg', '18.jpg', '24.jpg', '30.jpg', '31.jpg', '25.jpg', '19.jpg', '42.jpg', '56.jpg', '57.jpg', '43.jpg', '55.jpg'] 1/1 [==============================] - 2s 2s/step 1/1 [==============================] - 2s 2s/step 1/1 [==============================] - 0s 157ms/step 1/1 [==============================] - 0s 223ms/step 1/1 [==============================] - 0s 195ms/step 1/1 [==============================] - 0s 207ms/step 1/1 [==============================] - 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0s 142ms/step 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 180ms/step 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 201ms/step 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 161ms/step 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 184ms/step 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 162ms/step 1/1 [==============================] - 0s 226ms/step 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 169ms/step 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 164ms/step 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 157ms/step 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 188ms/step 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 175ms/step 1/1 [==============================] - 0s 218ms/step 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 210ms/step 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 199ms/step 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 246ms/step 1/1 [==============================] - 0s 214ms/step 1/1 [==============================] - 0s 256ms/step breed/train/Greyhound ['016.jpg', '002.jpg', '003.jpg', '017.jpg', '029.jpg', '001.jpg', '015.jpg', '014.jpg', '028.jpg', '004.jpg', '010.jpg', '038.jpg', '039.jpg', '011.jpg', '005.jpg', '013.jpg', '007.jpg', '006.jpg', '012.jpg', '101.jpg', '049.jpg', '075.jpg', '061.jpg', '060.jpg', '074.jpg', '048.jpg', '100.jpg', '102.jpg', '089.jpg', '062.jpg', '076.jpg', '077.jpg', '063.jpg', '088.jpg', '103.jpg', '107.jpg', '098.jpg', '067.jpg', '073.jpg', '072.jpg', '066.jpg', '099.jpg', '106.jpg', '104.jpg', '070.jpg', '064.jpg', '058.jpg', '059.jpg', '065.jpg', '071.jpg', '105.jpg', '108.jpg', '097.jpg', '083.jpg', '068.jpg', '054.jpg', '040.jpg', '041.jpg', '055.jpg', '069.jpg', '082.jpg', '096.jpg', '109.jpg', '080.jpg'] 1/1 [==============================] - 0s 165ms/step 1/1 [==============================] - 0s 303ms/step 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 206ms/step 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 184ms/step 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 169ms/step 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 157ms/step 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 225ms/step 1/1 [==============================] - 0s 217ms/step 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 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0s 168ms/step 1/1 [==============================] - 0s 234ms/step 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 216ms/step 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 256ms/step 1/1 [==============================] - 0s 188ms/step 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 263ms/step 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 294ms/step 1/1 [==============================] - 0s 329ms/step 1/1 [==============================] - 0s 207ms/step 1/1 [==============================] - 0s 259ms/step 1/1 [==============================] - 0s 182ms/step 1/1 [==============================] - 0s 216ms/step 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 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0s 302ms/step 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 166ms/step 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 175ms/step 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 175ms/step 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 203ms/step 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 205ms/step 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 164ms/step 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 158ms/step 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 161ms/step 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 143ms/step breed/train/Corgi ['016.jpg', '002.jpg', '003.jpg', '017.jpg', '029.jpg', '001.jpg', '015.jpg', '014.jpg', '028.jpg', '004.jpg', '010.jpg', '038.jpg', '039.jpg', '011.jpg', '005.jpg', '013.jpg', '007.jpg', '006.jpg', '012.jpg', '101.jpg', '049.jpg', '075.jpg', '061.jpg', '060.jpg', '074.jpg', '048.jpg', '100.jpg', '102.jpg', '089.jpg', '062.jpg', '076.jpg', '077.jpg', '063.jpg', '088.jpg', '103.jpg', '113.jpg', '107.jpg', '098.jpg', '067.jpg', '073.jpg', '072.jpg', '066.jpg', '099.jpg', '106.jpg', '112.jpg', '104.jpg', '110.jpg', '070.jpg', '064.jpg', '058.jpg', '059.jpg', '065.jpg', '071.jpg', '111.jpg', '105.jpg', '108.jpg', '097.jpg', '083.jpg', '068.jpg', '054.jpg', '040.jpg', '041.jpg', '055.jpg', '069.jpg'] 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 161ms/step 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 154ms/step 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 161ms/step 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 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0s 161ms/step 1/1 [==============================] - 0s 215ms/step 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 196ms/step 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 242ms/step 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 225ms/step 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 227ms/step 1/1 [==============================] - 0s 280ms/step 1/1 [==============================] - 0s 280ms/step 1/1 [==============================] - 0s 187ms/step 1/1 [==============================] - 0s 252ms/step 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 197ms/step 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 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Before reading Section 5, let's see what we have. We have gotten 2 dictionaries: feature_resnet and feature_xception. For each dictionary, there are 70 keys that are the names of the 70 breeds of dog. For each key, there is a list storing 64 feature vectors produced by encode_img_resnet or encode_img_xception (depends on whether it is feature_resnet or feature_xception).
To explain the algorithm of the hybrid model clearly, I will explain with an example and my handwritten notes.
plt.figure(figsize=(10, 10))
img1 = mpimg.imread('1.png')
plt.imshow(img1)
plt.axis('off')
plt.show()
In step 1, I input a new image which is a Golden Retriever. encode_img_resnet and encode_img_xception will generate a ResNet50 feature vector and a Xception feature vector respectively.
In step 2, feature_resnet and feature_xception are examined. In this example, we will focus on the Golden Retriever in feature_resnet and feature_xception to illustrate the algorithm. In feature_resnet, there are 64 ResNet50 feature vectors stored in a list which is corresponding to Golden Retriever. In feature_xception, there are 64 Xception feature vectors stored in a list which is corresponding to Golden Retriever.
In step 3, calculate the weighted sum of ResNet50 cosine similarity and Xception cosine similarity and check whether the weighted sum is larger than 0.5. In my handwritten note, $w$ is used to indicate the weight and $s$ is the cosine similarity function.
plt.figure(figsize=(8, 8))
img1 = mpimg.imread('2.png')
plt.imshow(img1)
plt.axis('off')
plt.show()
In step 4, if the total number of weighted sum which is larger than 0.5 is higher than 43, Golden Retriever is considered to be one of the possible correct breeds. If not, just examine other breeds.
In step 5, if the total number of possible correct breeds is just 1, then the hybrid model will classify the image as Golden Retriever. If the total number of possible correct breeds is zero, then the hybrid model will print: No such class! Your image may not be a dog. If the total number of possible correct breeds is larger than 1, go to step 6.
plt.figure(figsize=(10, 10))
img1 = mpimg.imread('3.png')
plt.imshow(img1)
plt.axis('off')
plt.show()
In step 6, let say there are 2 possible correct breeds: Golden Retriever and Boxer. The algorithmn will sum up the corresponding weighted sum of ResNet50 cosine similarity and Xception cosine similarity and check whose sum is larger. In this example, the total sum of Golden Retriever is 39.4, while the total sum of Boxer is 21.3. The algorithmn will classify the input image as Golden Retriever.
The mechanism of prediction below follows above rationale.
def prediction(testing, w1=0.5, thre_score=0.5, thre_num=43):
# Generate feature vectors for the input image
check_resent = encode_img_resnet(testing)
check_xcep = encode_img_xception(testing)
name = []
# Examine the feature_resnet and feature_xception
for i in breed_list:
temp_list_resent = feature_resnet[f'{i}']
temp_list_xcep = feature_xception[f'{i}']
temp1 = []
for m, n in zip(temp_list_resent, temp_list_xcep):
# Calculate the weighted sum
score_resent = cosine_similarity(check_resent.reshape(1,-1), m.reshape(1,-1))[0][0]
score_xcep = cosine_similarity(check_xcep.reshape(1,-1), n.reshape(1,-1))[0][0]
score = w1*score_resent + (1-w1)*score_xcep
# Check the weighted sum
if score > thre_score:
temp1.append(score)
# Check the total number of weighted sum which is larger than thre_score
if len(temp1) > thre_num:
name.append(i)
############################################## Three possible cases ####################################################
name_list = list(dict.fromkeys(name))
# Only one possibility
if len(name_list)==1:
for k in name_list:
print("This is a", k)
return k
# More than one possibility
elif len(name_list)>1:
temp2 = []
for l in name_list:
temp3 = []
temp_list2_resent = feature_resnet[f'{l}']
temp_list2_xcep = feature_xception[f'{l}']
for s, t in zip(temp_list2_resent, temp_list2_xcep):
score_resent = cosine_similarity(check_resent.reshape(1,-1), s.reshape(1,-1))[0][0]
score_xcep = cosine_similarity(check_xcep.reshape(1,-1), t.reshape(1,-1))[0][0]
score = w1*score_resent + (1-w1)*score_xcep
temp3.append(score)
temp2.append(sum(temp3))
print("This is a", name_list[np.argmax(temp2)])
return name_list[np.argmax(temp2)]
# Zero possibility
elif len(name_list)==0:
print("No such class! Your image may not be a dog")
return 'X'
Let's use prediction to check whether it can predict a Golden Retriever in validation set correctly.
plt.figure(figsize=(4, 4))
img1 = mpimg.imread('breed/valid/Golden Retriever/01.jpg')
plt.imshow(img1)
plt.title('Golden Retriever')
plt.axis('off')
plt.show()
prediction('breed/valid/Golden Retriever/01.jpg')
1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 142ms/step This is a Golden Retriever
'Golden Retriever'
What if I input an image of a human face?
plt.figure(figsize=(4, 4))
img1 = mpimg.imread('human.jpeg')
plt.imshow(img1)
plt.title('Human')
plt.axis('off')
plt.show()
prediction('human.jpeg')
1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 158ms/step No such class! Your image may not be a dog
'X'
The hybrid classifer will NOT classify the image of human as one of the 70 breeds but tell you that you may input some irrelevant images. This is what a traditional CNN classfication model CANNOT do.
accuracy can calculate the valid accuracy or test accuracy. The idea is to use the above prediction to predict the valid and test set and count the number of correct predictions. Finally, the number is divided by the total number of images in valid set or test set and return the accuracy of the hybrid CNN classifer under different settings.
def accuracy(set='valid', w1=0.5, thre_score=0.5, thre_num=43):
pred = []
real = []
count = 0
for breed in breed_list:
path1 = 'breed/'+set+'/'+f'{breed}'
path1_img = os.listdir('breed/'+set+'/'+f'{breed}')
for img in path1_img:
pred_img = path1+'/'+img
pred.append(prediction(pred_img, w1=w1, thre_score=thre_score, thre_num=thre_num))
for img in range(len(path1_img)):
real.append(breed)
for x, y in zip(real, pred):
if x == y:
count += 1
print("The accuracy:", count/len(real))
return count/len(real)
We will try different weights and check the validation accuracy. The setting which produces the highest validation accuracy will be used in the remaining section and its test accuracy will be checked.
acc_valid_1 = accuracy(set='valid', w1=0, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 154ms/step This is a Yorkie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Yorkie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 210ms/step This is a Yorkie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Yorkie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a Yorkie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Yorkie 1/1 [==============================] - 0s 189ms/step 1/1 [==============================] - 0s 148ms/step This is a Yorkie 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Greyhound 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 179ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 128ms/step This is a Greyhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 128ms/step This is a Greyhound 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 184ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Corgi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 128ms/step This is a Corgi 1/1 [==============================] - 0s 195ms/step 1/1 [==============================] - 0s 229ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 145ms/step This is a Corgi 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Corgi 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 144ms/step This is a Corgi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Corgi 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 139ms/step This is a Corgi 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 136ms/step This is a Mex Hairless 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 156ms/step This is a Mex Hairless 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Mex Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 165ms/step This is a Mex Hairless 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 181ms/step This is a Mex Hairless 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 135ms/step This is a Mex Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 144ms/step This is a Mex Hairless 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 152ms/step This is a Mex Hairless 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 143ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Boston Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Boston Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 131ms/step This is a Boston Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Boston Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 157ms/step This is a Boston Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 245ms/step This is a Blenheim 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 154ms/step This is a Blenheim 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 133ms/step This is a Blenheim 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Blenheim 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 167ms/step This is a Blenheim 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 204ms/step This is a Blenheim 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 144ms/step This is a Blenheim 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 155ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 146ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 207ms/step 1/1 [==============================] - 0s 144ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 145ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 205ms/step This is a Rottweiler 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 144ms/step This is a Rottweiler 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Rottweiler 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 170ms/step This is a Rottweiler 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 166ms/step This is a Rottweiler 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 148ms/step This is a Rottweiler 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Rottweiler 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Rottweiler 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Elk Hound 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 169ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Elk Hound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 144ms/step This is a Elk Hound 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 133ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 141ms/step This is a Elk Hound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 136ms/step This is a Elk Hound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 130ms/step This is a Schnauzer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 182ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 145ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 161ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 238ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 131ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 167ms/step 1/1 [==============================] - 0s 194ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 163ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 170ms/step This is a Pomeranian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Pomeranian 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 229ms/step This is a Pomeranian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 151ms/step This is a Pomeranian 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 131ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Pomeranian 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a Pomeranian 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 136ms/step This is a Pomeranian 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 145ms/step This is a Pekinese 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Pekinese 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 135ms/step This is a Pekinese 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 148ms/step This is a Pekinese 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 149ms/step This is a Pekinese 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 152ms/step This is a Pekinese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 199ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Pekinese 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 142ms/step This is a Pit Bull 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step This is a Pit Bull 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Pit Bull 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Pit Bull 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 217ms/step This is a Pit Bull 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 141ms/step This is a Pit Bull 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 202ms/step This is a Pit Bull 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 137ms/step This is a Pit Bull 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 142ms/step This is a Basenji 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Basenji 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Basenji 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 134ms/step This is a Basenji 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 127ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Basenji 1/1 [==============================] - 0s 213ms/step 1/1 [==============================] - 0s 134ms/step This is a Basenji 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Basenji 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 147ms/step This is a French Bulldog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a French Bulldog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 147ms/step This is a French Bulldog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a French Bulldog 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 134ms/step This is a French Bulldog 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 137ms/step This is a French Bulldog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a French Bulldog 1/1 [==============================] - 0s 193ms/step 1/1 [==============================] - 0s 150ms/step This is a Coyote 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 179ms/step This is a Coyote 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 162ms/step This is a Coyote 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 146ms/step This is a Coyote 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 147ms/step This is a Coyote 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 247ms/step This is a Coyote 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 144ms/step This is a Coyote 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Coyote 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 138ms/step This is a Komondor 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Komondor 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Komondor 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 137ms/step This is a Komondor 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 140ms/step This is a Komondor 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 135ms/step This is a Komondor 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Komondor 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Great Perenees 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 226ms/step This is a Great Perenees 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Great Perenees 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 192ms/step This is a Great Perenees 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 158ms/step This is a Great Perenees 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 214ms/step This is a Great Perenees 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 192ms/step This is a Great Perenees 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Perenees 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 157ms/step This is a Basset 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 157ms/step This is a Basset 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 146ms/step This is a Basset 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 134ms/step This is a Basset 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Basset 1/1 [==============================] - 0s 240ms/step 1/1 [==============================] - 0s 167ms/step This is a Basset 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Basset 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 200ms/step This is a Basset 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Dane 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 218ms/step This is a Great Dane 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Great Dane 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 143ms/step This is a Great Dane 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 158ms/step This is a Great Dane 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 145ms/step This is a Great Dane 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Great Dane 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 167ms/step This is a Dhole 1/1 [==============================] - 0s 174ms/step 1/1 [==============================] - 0s 177ms/step This is a Dhole 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Dhole 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 150ms/step This is a Dhole 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Dhole 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 133ms/step This is a Dhole 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Dhole 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 166ms/step This is a Dhole 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 150ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 143ms/step This is a Lhasa 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 169ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 137ms/step This is a Lhasa 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 296ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Lhasa 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 153ms/step This is a Maltese 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 133ms/step This is a Lhasa 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 128ms/step This is a Labrador 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 133ms/step This is a Labrador 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step This is a Labrador 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 155ms/step This is a Labrador 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 139ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Labrador 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Labrador 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 148ms/step This is a Mex Hairless 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 130ms/step This is a Chinese Crested 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 130ms/step This is a Chinese Crested 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 166ms/step This is a Chinese Crested 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 146ms/step This is a Chinese Crested 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 141ms/step This is a Chinese Crested 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Chinese Crested 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 146ms/step This is a Chinese Crested 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 136ms/step This is a Cocker 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Cocker 1/1 [==============================] - 0s 141ms/step 1/1 [==============================] - 0s 187ms/step This is a Cocker 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 228ms/step This is a Cocker 1/1 [==============================] - 0s 211ms/step 1/1 [==============================] - 0s 135ms/step This is a Cocker 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 165ms/step This is a Cocker 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 258ms/step This is a Cocker 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step This is a American Spaniel 1/1 [==============================] - 0s 164ms/step 1/1 [==============================] - 0s 199ms/step This is a Chihuahua 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 180ms/step This is a Chihuahua 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 150ms/step This is a Chihuahua 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Chihuahua 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 123ms/step This is a Chihuahua 1/1 [==============================] - 0s 161ms/step 1/1 [==============================] - 0s 131ms/step This is a Chihuahua 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 156ms/step This is a Chihuahua 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 154ms/step This is a Chihuahua 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a Shiba Inu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Shiba Inu 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Shiba Inu 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 152ms/step This is a Shiba Inu 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 136ms/step This is a Shiba Inu 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 233ms/step This is a Dingo 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Shiba Inu 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 156ms/step This is a Newfoundland 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 144ms/step This is a Newfoundland 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Newfoundland 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 185ms/step This is a Newfoundland 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Newfoundland 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 165ms/step This is a Newfoundland 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 141ms/step This is a Newfoundland 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 378ms/step This is a Newfoundland 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 145ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 242ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Dalmation 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 129ms/step This is a Dalmation 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Dalmation 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 152ms/step This is a Dalmation 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Dalmation 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Bull Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 149ms/step This is a Basenji 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Bull Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Terrier 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 147ms/step This is a Bull Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 140ms/step This is a Bull Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 144ms/step This is a Bull Terrier 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 199ms/step This is a Pug 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Pug 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Pug 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 143ms/step This is a Pug 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 180ms/step This is a Pug 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 131ms/step This is a Pug 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 136ms/step This is a Pug 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 130ms/step This is a Pug 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 135ms/step This is a Afghan 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Afghan 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 137ms/step This is a Afghan 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Afghan 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a Afghan 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 181ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 157ms/step This is a Cairn 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Cairn 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Cairn 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 137ms/step This is a Cairn 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Cairn 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 133ms/step This is a Beagle 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 154ms/step This is a Beagle 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Beagle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Beagle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Beagle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 171ms/step This is a Beagle 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Beagle 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 148ms/step This is a Beagle 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 149ms/step This is a Cockapoo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Bearded Collie 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 131ms/step This is a Labradoodle 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Cockapoo 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 250ms/step This is a Cockapoo 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 151ms/step This is a Cockapoo 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 233ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 143ms/step This is a Labradoodle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Vizsla 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 151ms/step This is a Vizsla 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 131ms/step This is a Vizsla 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Vizsla 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Vizsla 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 136ms/step This is a Vizsla 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 152ms/step This is a Vizsla 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 134ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Collie 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 164ms/step This is a Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Collie 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 316ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 155ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 239ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a American Spaniel 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a American Spaniel 1/1 [==============================] - 0s 192ms/step 1/1 [==============================] - 0s 130ms/step This is a American Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a American Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 147ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 133ms/step This is a American Spaniel 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 141ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Maltese 1/1 [==============================] - 0s 173ms/step 1/1 [==============================] - 0s 208ms/step This is a Maltese 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 201ms/step This is a Maltese 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 195ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Maltese 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 149ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a African Wild Dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a African Wild Dog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a African Wild Dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a African Wild Dog 1/1 [==============================] - 0s 223ms/step 1/1 [==============================] - 0s 195ms/step This is a African Wild Dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a African Wild Dog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a African Wild Dog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 146ms/step This is a African Wild Dog 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Doberman 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Doberman 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Doberman 1/1 [==============================] - 0s 176ms/step 1/1 [==============================] - 0s 231ms/step This is a Doberman 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Doberman 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 158ms/step This is a Doberman 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 209ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 143ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 148ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 184ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 225ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 147ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 180ms/step This is a German Sheperd 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 147ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 147ms/step This is a German Sheperd 1/1 [==============================] - 0s 181ms/step 1/1 [==============================] - 0s 161ms/step This is a German Sheperd 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 130ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 146ms/step This is a Komondor 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 142ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 131ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 259ms/step This is a Labradoodle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 129ms/step This is a Bearded Collie 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 132ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Groenendael 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 142ms/step This is a Groenendael 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 163ms/step This is a Groenendael 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Groenendael 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Groenendael 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 220ms/step This is a Groenendael 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Groenendael 1/1 [==============================] - 0s 245ms/step 1/1 [==============================] - 0s 192ms/step This is a Border Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Border Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Border Collie 1/1 [==============================] - 0s 103ms/step 1/1 [==============================] - 0s 129ms/step This is a Border Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 248ms/step This is a Border Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Border Collie 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a Border Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Border Collie 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 199ms/step This is a Shar_Pei 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 138ms/step This is a Shar_Pei 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 130ms/step This is a Shar_Pei 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Shar_Pei 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 197ms/step 1/1 [==============================] - 0s 144ms/step This is a Shar_Pei 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 143ms/step This is a Shar_Pei 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 142ms/step This is a Bearded Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Bearded Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 131ms/step This is a Bearded Collie 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 145ms/step This is a Bearded Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 133ms/step This is a Bearded Collie 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 131ms/step This is a Bearded Collie 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Bearded Collie 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 128ms/step This is a Bermaise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Bermaise 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 140ms/step This is a Bermaise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Bermaise 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 182ms/step 1/1 [==============================] - 0s 209ms/step This is a Bermaise 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Bermaise 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 131ms/step This is a Saint Bernard 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 148ms/step This is a Saint Bernard 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 181ms/step This is a Saint Bernard 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 130ms/step This is a Saint Bernard 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 138ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Saint Bernard 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 141ms/step This is a Saint Bernard 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 140ms/step This is a Rhodesian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 145ms/step This is a Rhodesian 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 134ms/step This is a Rhodesian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 131ms/step This is a Rhodesian 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 144ms/step This is a Rhodesian 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 142ms/step This is a Rhodesian 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Rhodesian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 150ms/step This is a Rhodesian 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 131ms/step This is a Siberian Husky 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 253ms/step This is a Siberian Husky 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a Siberian Husky 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Siberian Husky 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 143ms/step This is a Siberian Husky 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 152ms/step This is a Siberian Husky 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 141ms/step This is a Siberian Husky 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 167ms/step This is a Siberian Husky 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 182ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 155ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Borzoi 1/1 [==============================] - 0s 164ms/step 1/1 [==============================] - 0s 146ms/step This is a Borzoi 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 153ms/step This is a Borzoi 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step This is a Borzoi 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 164ms/step This is a Borzoi 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 233ms/step This is a Borzoi 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Borzoi 1/1 [==============================] - 0s 240ms/step 1/1 [==============================] - 0s 147ms/step This is a Borzoi 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 298ms/step This is a Chow 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 146ms/step This is a Chow 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 145ms/step This is a Chow 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 142ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 126ms/step This is a Chow 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Chow 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Chow 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 128ms/step This is a Chow 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Airedale 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 169ms/step This is a Airedale 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 126ms/step This is a Airedale 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 129ms/step This is a Airedale 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 127ms/step This is a Airedale 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 147ms/step This is a Airedale 1/1 [==============================] - 0s 229ms/step 1/1 [==============================] - 0s 161ms/step This is a Airedale 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Airedale 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 224ms/step This is a Dingo 1/1 [==============================] - 0s 232ms/step 1/1 [==============================] - 0s 146ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 154ms/step This is a Dingo 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step This is a Dingo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 143ms/step This is a Dingo 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Dingo 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 142ms/step This is a Dingo 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 206ms/step This is a Dingo 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 138ms/step This is a Mex Hairless 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a American Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Mex Hairless 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 125ms/step This is a Mex Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a American Hairless 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Mex Hairless 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 148ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 126ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 139ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 168ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 183ms/step This is a Poodle 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 134ms/step This is a Poodle 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 165ms/step This is a Poodle 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 140ms/step This is a Poodle 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 169ms/step This is a Poodle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Poodle 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 178ms/step This is a Poodle 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 134ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 143ms/step This is a Malinois 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a German Sheperd 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Malinois 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Malinois 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Malinois 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Malinois 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 132ms/step This is a Bichon Frise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a Bichon Frise 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Bichon Frise 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Bichon Frise 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 145ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Golden Retriever 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Golden Retriever 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Golden Retriever 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 158ms/step This is a Clumber 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a Clumber 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Clumber 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 137ms/step This is a Clumber 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Boxer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Boston Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Boxer 1/1 [==============================] - 0s 199ms/step 1/1 [==============================] - 0s 150ms/step This is a Boston Terrier 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Boxer 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a French Bulldog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Bloodhound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Bluetick 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Bluetick 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 153ms/step This is a Bluetick 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 130ms/step This is a Bluetick 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Bluetick 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Bluetick 1/1 [==============================] - 0s 208ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick The accuracy: 0.9160714285714285
print(f"validation accuracy: {acc_valid_1:.3f}")
validation accuracy: 0.916
acc_valid_2 = accuracy(set='valid', w1=0.3, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 203ms/step This is a Yorkie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 155ms/step This is a Yorkie 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 138ms/step This is a Yorkie 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 146ms/step This is a Yorkie 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 134ms/step This is a Yorkie 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 160ms/step This is a Yorkie 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 133ms/step This is a Yorkie 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 144ms/step This is a Yorkie 1/1 [==============================] - 0s 237ms/step 1/1 [==============================] - 0s 275ms/step This is a Greyhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 276ms/step This is a Greyhound 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 165ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 189ms/step This is a Greyhound 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 159ms/step This is a Greyhound 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 267ms/step This is a Greyhound 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 153ms/step This is a Greyhound 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 153ms/step This is a Greyhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 146ms/step This is a Corgi 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 156ms/step This is a Corgi 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 343ms/step This is a Corgi 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 156ms/step This is a Corgi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Corgi 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 136ms/step This is a Corgi 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 224ms/step This is a Corgi 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 145ms/step This is a Corgi 1/1 [==============================] - 0s 163ms/step 1/1 [==============================] - 0s 185ms/step This is a Mex Hairless 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 156ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 171ms/step This is a Mex Hairless 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 167ms/step This is a Mex Hairless 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 145ms/step This is a Mex Hairless 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 163ms/step This is a Mex Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 214ms/step This is a Mex Hairless 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 163ms/step This is a Boston Terrier 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 156ms/step This is a Boston Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 194ms/step This is a French Bulldog 1/1 [==============================] - 0s 174ms/step 1/1 [==============================] - 0s 226ms/step This is a Boston Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Boston Terrier 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 133ms/step This is a Boston Terrier 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 138ms/step This is a Boston Terrier 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 296ms/step This is a Boston Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 185ms/step This is a Blenheim 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 148ms/step This is a Blenheim 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 150ms/step This is a Blenheim 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 150ms/step This is a Blenheim 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 140ms/step This is a Blenheim 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 144ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 195ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 169ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 140ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 196ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 150ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 133ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 163ms/step 1/1 [==============================] - 0s 145ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 150ms/step This is a Rottweiler 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Rottweiler 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 144ms/step This is a Rottweiler 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 154ms/step This is a Rottweiler 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 173ms/step This is a Rottweiler 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 145ms/step This is a Rottweiler 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Rottweiler 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 145ms/step This is a Rottweiler 1/1 [==============================] - 0s 265ms/step 1/1 [==============================] - 0s 245ms/step This is a Elk Hound 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 150ms/step This is a Elk Hound 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 169ms/step This is a Elk Hound 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 189ms/step This is a Elk Hound 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 145ms/step This is a Elk Hound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 158ms/step This is a Elk Hound 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 146ms/step This is a Elk Hound 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 174ms/step This is a Elk Hound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 159ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 151ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 136ms/step This is a Schnauzer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 140ms/step This is a Schnauzer 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 157ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 193ms/step This is a Schnauzer 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 135ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 155ms/step This is a Schnauzer 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 132ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 168ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 151ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 152ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 153ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 141ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 145ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 154ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 151ms/step This is a Pomeranian 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 137ms/step This is a Pomeranian 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 139ms/step This is a Pomeranian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Pomeranian 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 169ms/step This is a Pomeranian 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a Pomeranian 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 131ms/step This is a Pomeranian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Pomeranian 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 168ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 143ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 149ms/step This is a Pekinese 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 165ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Pekinese 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 166ms/step This is a Pekinese 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 154ms/step This is a Pekinese 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Pit Bull 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 146ms/step This is a Pit Bull 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 144ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Pit Bull 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 139ms/step This is a Pit Bull 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 130ms/step This is a Pit Bull 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 158ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 140ms/step This is a Pit Bull 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 131ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 150ms/step This is a Basenji 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 147ms/step This is a Basenji 1/1 [==============================] - 0s 165ms/step 1/1 [==============================] - 0s 177ms/step This is a Basenji 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 144ms/step This is a Basenji 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 165ms/step This is a Basenji 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 193ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 154ms/step This is a Basenji 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 132ms/step This is a French Bulldog 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 180ms/step This is a French Bulldog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a French Bulldog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 167ms/step This is a French Bulldog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a French Bulldog 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 144ms/step This is a French Bulldog 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 131ms/step This is a French Bulldog 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 142ms/step This is a Coyote 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 142ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 160ms/step This is a Coyote 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 147ms/step This is a Coyote 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 131ms/step This is a Coyote 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 130ms/step This is a Coyote 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Coyote 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 156ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 145ms/step This is a Komondor 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 132ms/step This is a Komondor 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 155ms/step This is a Komondor 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 152ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 150ms/step This is a Komondor 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 146ms/step This is a Komondor 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 143ms/step This is a Komondor 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 155ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 143ms/step This is a Great Perenees 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Perenees 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 144ms/step This is a Great Perenees 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 150ms/step This is a Great Perenees 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 242ms/step This is a Great Perenees 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 147ms/step This is a Great Perenees 1/1 [==============================] - 0s 219ms/step 1/1 [==============================] - 0s 424ms/step This is a Great Perenees 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 163ms/step This is a Great Perenees 1/1 [==============================] - 0s 162ms/step 1/1 [==============================] - 0s 199ms/step This is a Basset 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 254ms/step This is a Basset 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 172ms/step This is a Basset 1/1 [==============================] - 0s 181ms/step 1/1 [==============================] - 0s 273ms/step This is a Basset 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 163ms/step This is a Basset 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 153ms/step This is a Basset 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 145ms/step This is a Basset 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 148ms/step This is a Basset 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 176ms/step This is a Great Dane 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 169ms/step This is a Great Dane 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 156ms/step This is a Great Dane 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 169ms/step This is a Great Dane 1/1 [==============================] - 0s 165ms/step 1/1 [==============================] - 0s 157ms/step This is a Great Dane 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Dane 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 150ms/step This is a Great Dane 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Dane 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 169ms/step This is a Dhole 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Dhole 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Dhole 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Dhole 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Dhole 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 134ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 184ms/step 1/1 [==============================] - 0s 193ms/step This is a Lhasa 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 136ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Lhasa 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Lhasa 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Maltese 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 149ms/step This is a Lhasa 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Labrador 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Labrador 1/1 [==============================] - 0s 102ms/step 1/1 [==============================] - 0s 129ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 143ms/step This is a Labrador 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 142ms/step This is a Labrador 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 139ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Great Perenees 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 155ms/step This is a Labrador 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 150ms/step This is a Mex Hairless 1/1 [==============================] - 0s 176ms/step 1/1 [==============================] - 0s 243ms/step This is a Chinese Crested 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 181ms/step This is a Chinese Crested 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 144ms/step This is a Chinese Crested 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 237ms/step This is a Chinese Crested 1/1 [==============================] - 0s 153ms/step 1/1 [==============================] - 0s 148ms/step This is a Chinese Crested 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Chinese Crested 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Chinese Crested 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 128ms/step This is a Cocker 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 138ms/step This is a Cocker 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 126ms/step This is a Cocker 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 126ms/step This is a Cocker 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 146ms/step This is a American Spaniel 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 152ms/step This is a Chihuahua 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Chihuahua 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 137ms/step This is a Chihuahua 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 142ms/step This is a Chihuahua 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 130ms/step This is a Chihuahua 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Chihuahua 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Chihuahua 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 139ms/step This is a Chihuahua 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Shiba Inu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Shiba Inu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 140ms/step This is a Shiba Inu 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Shiba Inu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 179ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Shiba Inu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 158ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 212ms/step This is a Newfoundland 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 139ms/step This is a Newfoundland 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 184ms/step This is a Newfoundland 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 147ms/step This is a Newfoundland 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 144ms/step This is a Newfoundland 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Newfoundland 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Newfoundland 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 194ms/step This is a Newfoundland 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Dalmation 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 130ms/step This is a Dalmation 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Dalmation 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Dalmation 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 170ms/step This is a Dalmation 1/1 [==============================] - 0s 153ms/step 1/1 [==============================] - 0s 161ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 180ms/step This is a Dalmation 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Dalmation 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 177ms/step This is a Bull Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Basenji 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 148ms/step This is a Bull Terrier 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 150ms/step This is a Bull Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 164ms/step This is a Bull Terrier 1/1 [==============================] - 0s 184ms/step 1/1 [==============================] - 0s 216ms/step This is a Bull Terrier 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 162ms/step This is a Bull Terrier 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 194ms/step This is a Bull Terrier 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 163ms/step This is a Pug 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 143ms/step This is a Pug 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 190ms/step This is a Pug 1/1 [==============================] - 0s 250ms/step 1/1 [==============================] - 0s 292ms/step This is a Pug 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 156ms/step This is a Pug 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 167ms/step This is a Pug 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 289ms/step This is a Pug 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 145ms/step This is a Pug 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Afghan 1/1 [==============================] - 0s 197ms/step 1/1 [==============================] - 0s 197ms/step This is a Afghan 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Afghan 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 162ms/step 1/1 [==============================] - 0s 213ms/step This is a Afghan 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 157ms/step This is a Afghan 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Afghan 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 161ms/step This is a Afghan 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 162ms/step This is a Cairn 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Cairn 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Cairn 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Cairn 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 128ms/step This is a Cairn 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a Beagle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Beagle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Beagle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Beagle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Beagle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Beagle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 138ms/step This is a Beagle 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 180ms/step This is a Beagle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Cockapoo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Labradoodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Cockapoo 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 142ms/step This is a Cockapoo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Labradoodle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Vizsla 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 127ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Vizsla 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 130ms/step This is a Vizsla 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 125ms/step This is a Vizsla 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 129ms/step This is a Vizsla 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Collie 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 131ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 201ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a American Spaniel 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 128ms/step This is a American Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a American Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a American Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a American Spaniel 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 132ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a African Wild Dog 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 138ms/step This is a African Wild Dog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a African Wild Dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a African Wild Dog 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Doberman 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Doberman 1/1 [==============================] - 0s 208ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 167ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 144ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 127ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 128ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a German Sheperd 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a German Sheperd 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a German Sheperd 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a German Sheperd 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a German Sheperd 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Komondor 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Labradoodle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 235ms/step 1/1 [==============================] - 0s 142ms/step This is a Cockapoo 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 130ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Cockapoo 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 162ms/step This is a Groenendael 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 128ms/step This is a Groenendael 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 133ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Groenendael 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Groenendael 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 214ms/step This is a Groenendael 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 136ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Border Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Border Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Border Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 149ms/step This is a Border Collie 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Border Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 131ms/step This is a Border Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 146ms/step This is a Border Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 156ms/step This is a Border Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Shar_Pei 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 162ms/step This is a Shar_Pei 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 137ms/step This is a Shar_Pei 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 189ms/step This is a Shar_Pei 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 144ms/step This is a Shar_Pei 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 145ms/step This is a Shar_Pei 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Bearded Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Bearded Collie 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 184ms/step This is a Bearded Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Bearded Collie 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Bearded Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 222ms/step This is a Bearded Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 144ms/step This is a Bearded Collie 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 152ms/step This is a Bermaise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Bermaise 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 141ms/step This is a Bermaise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 149ms/step This is a Bermaise 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 176ms/step This is a Bermaise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 158ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Bermaise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Bermaise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 134ms/step This is a Saint Bernard 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Saint Bernard 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 131ms/step This is a Saint Bernard 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Saint Bernard 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 165ms/step This is a Saint Bernard 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 144ms/step This is a Saint Bernard 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 142ms/step This is a Saint Bernard 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 155ms/step This is a Rhodesian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Rhodesian 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 148ms/step This is a Rhodesian 1/1 [==============================] - 0s 167ms/step 1/1 [==============================] - 0s 154ms/step This is a Rhodesian 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Rhodesian 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 149ms/step This is a Rhodesian 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 143ms/step This is a Rhodesian 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Rhodesian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 145ms/step This is a Siberian Husky 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Siberian Husky 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 137ms/step This is a Siberian Husky 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Siberian Husky 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 147ms/step This is a Siberian Husky 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Siberian Husky 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Siberian Husky 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Siberian Husky 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Borzoi 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Borzoi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 214ms/step This is a Borzoi 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 171ms/step This is a Borzoi 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Chow 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 144ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Chow 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Chow 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Chow 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Chow 1/1 [==============================] - 0s 196ms/step 1/1 [==============================] - 0s 158ms/step This is a Chow 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 160ms/step This is a Airedale 1/1 [==============================] - 0s 209ms/step 1/1 [==============================] - 0s 140ms/step This is a Airedale 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 131ms/step This is a Airedale 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Airedale 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 164ms/step This is a Airedale 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 138ms/step This is a Airedale 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Airedale 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Airedale 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Dingo 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 205ms/step This is a Dingo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Dingo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Dingo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Dingo 1/1 [==============================] - 0s 163ms/step 1/1 [==============================] - 0s 149ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Dingo 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a American Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a American Hairless 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a Mex Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a American Hairless 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a American Hairless 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Mex Hairless 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 153ms/step 1/1 [==============================] - 0s 213ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 140ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Poodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Poodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 174ms/step This is a Poodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Poodle 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Poodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step This is a German Sheperd 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 190ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Malinois 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Malinois 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Malinois 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Malinois 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Bichon Frise 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 150ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 168ms/step This is a Golden Retriever 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 228ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Clumber 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 160ms/step This is a Clumber 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 130ms/step This is a Clumber 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Boxer 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Boston Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a French Bulldog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 229ms/step This is a Bloodhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Bloodhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 131ms/step This is a Bloodhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 146ms/step This is a Bloodhound 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 144ms/step This is a Bloodhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 157ms/step This is a Bluetick 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 147ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Bluetick 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bluetick 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 140ms/step This is a Bluetick 1/1 [==============================] - 0s 189ms/step 1/1 [==============================] - 0s 150ms/step This is a Bluetick The accuracy: 0.9303571428571429
print(f"validation accuracy: {acc_valid_2:.3f}")
validation accuracy: 0.930
acc_valid_3 = accuracy(set='valid', w1=0.5, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 156ms/step This is a Yorkie 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 176ms/step This is a Yorkie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 136ms/step This is a Yorkie 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 142ms/step This is a Yorkie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Yorkie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Yorkie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Greyhound 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 133ms/step This is a Greyhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Greyhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Greyhound 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Corgi 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 134ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Corgi 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Corgi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a Corgi 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 128ms/step This is a Corgi 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Corgi 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Mex Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 147ms/step This is a Mex Hairless 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 131ms/step This is a Mex Hairless 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 197ms/step This is a Boston Terrier 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 141ms/step This is a Boston Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a French Bulldog 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 136ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Boston Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Boston Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 127ms/step This is a Boston Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 152ms/step This is a Boston Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 138ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Blenheim 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Blenheim 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Blenheim 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 139ms/step This is a Blenheim 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Blenheim 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 173ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 159ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 134ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 141ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Rottweiler 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Rottweiler 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 144ms/step This is a Rottweiler 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 175ms/step This is a Rottweiler 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Rottweiler 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Rottweiler 1/1 [==============================] - 0s 158ms/step 1/1 [==============================] - 0s 144ms/step This is a Rottweiler 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Rottweiler 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 132ms/step This is a Elk Hound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Elk Hound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Elk Hound 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 136ms/step This is a Elk Hound 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 145ms/step This is a Elk Hound 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 131ms/step This is a Elk Hound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Elk Hound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Elk Hound 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 288ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 142ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Schnauzer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Schnauzer 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 133ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Schnauzer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 130ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 180ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 151ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 208ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 146ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Pomeranian 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 146ms/step This is a Pomeranian 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 150ms/step This is a Pomeranian 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 134ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 173ms/step This is a Pomeranian 1/1 [==============================] - 0s 162ms/step 1/1 [==============================] - 0s 207ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Pomeranian 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 174ms/step This is a Pekinese 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 272ms/step This is a Pekinese 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 133ms/step This is a Pekinese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Pekinese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 160ms/step This is a Pekinese 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 144ms/step This is a Pekinese 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 130ms/step This is a Pekinese 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 131ms/step This is a Pekinese 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 146ms/step This is a Pit Bull 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Pit Bull 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 132ms/step This is a Pit Bull 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 143ms/step This is a Pit Bull 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 132ms/step This is a Pit Bull 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Pit Bull 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 131ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Basenji 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Basenji 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Basenji 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 142ms/step This is a Basenji 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Basenji 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Basenji 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a French Bulldog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a French Bulldog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 140ms/step This is a French Bulldog 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 172ms/step This is a French Bulldog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a French Bulldog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a French Bulldog 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 149ms/step This is a French Bulldog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Coyote 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Coyote 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 154ms/step This is a Coyote 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Coyote 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 164ms/step This is a Coyote 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 149ms/step This is a Coyote 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 143ms/step This is a Komondor 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 138ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Komondor 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 137ms/step This is a Komondor 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Komondor 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 200ms/step This is a Komondor 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 218ms/step This is a Komondor 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 187ms/step This is a Komondor 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Great Perenees 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 131ms/step This is a Great Perenees 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Great Perenees 1/1 [==============================] - 0s 204ms/step 1/1 [==============================] - 0s 183ms/step This is a Great Perenees 1/1 [==============================] - 0s 200ms/step 1/1 [==============================] - 0s 152ms/step This is a Great Perenees 1/1 [==============================] - 0s 216ms/step 1/1 [==============================] - 0s 195ms/step This is a Great Perenees 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 150ms/step This is a Great Perenees 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Great Perenees 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 139ms/step This is a Basset 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 143ms/step This is a Basset 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 130ms/step This is a Basset 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Basset 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Basset 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 144ms/step This is a Basset 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 209ms/step This is a Basset 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Basset 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Dane 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Great Dane 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 253ms/step This is a Great Dane 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Dane 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 159ms/step This is a Great Dane 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Great Dane 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Great Dane 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Great Dane 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 132ms/step This is a Dhole 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 170ms/step This is a Dhole 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Dhole 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 127ms/step This is a Dhole 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 172ms/step This is a Dhole 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 141ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Lhasa 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 160ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 185ms/step This is a Lhasa 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 134ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Lhasa 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 137ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Lhasa 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 135ms/step This is a Labrador 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Labrador 1/1 [==============================] - 0s 219ms/step 1/1 [==============================] - 0s 133ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 160ms/step This is a Labrador 1/1 [==============================] - 0s 308ms/step 1/1 [==============================] - 0s 167ms/step This is a Labrador 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 157ms/step This is a Golden Retriever 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 189ms/step This is a Great Perenees 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 134ms/step This is a Labrador 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 201ms/step This is a Maltese 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 157ms/step This is a Chinese Crested 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 179ms/step This is a Chinese Crested 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Chinese Crested 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Chinese Crested 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 149ms/step This is a Chinese Crested 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 164ms/step This is a Chinese Crested 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Cocker 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Cocker 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 146ms/step This is a Cocker 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 159ms/step This is a Cocker 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 141ms/step This is a Cocker 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 147ms/step This is a Cocker 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 154ms/step This is a American Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 189ms/step This is a Chihuahua 1/1 [==============================] - 0s 232ms/step 1/1 [==============================] - 0s 267ms/step This is a Chihuahua 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 147ms/step This is a Chihuahua 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 147ms/step This is a Chihuahua 1/1 [==============================] - 0s 240ms/step 1/1 [==============================] - 0s 143ms/step This is a Chihuahua 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Chihuahua 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Chihuahua 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 154ms/step This is a Chihuahua 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 142ms/step This is a Shiba Inu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 103ms/step 1/1 [==============================] - 0s 129ms/step This is a Shiba Inu 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Shiba Inu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 152ms/step This is a Shiba Inu 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 144ms/step This is a Shiba Inu 1/1 [==============================] - 0s 182ms/step 1/1 [==============================] - 0s 209ms/step This is a Shiba Inu 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Shiba Inu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Newfoundland 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Newfoundland 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 147ms/step This is a Newfoundland 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 145ms/step This is a Newfoundland 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Newfoundland 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 128ms/step This is a Newfoundland 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Newfoundland 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 190ms/step This is a Newfoundland 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 174ms/step This is a Dalmation 1/1 [==============================] - 0s 180ms/step 1/1 [==============================] - 0s 158ms/step This is a Dalmation 1/1 [==============================] - 0s 163ms/step 1/1 [==============================] - 0s 166ms/step This is a Dalmation 1/1 [==============================] - 0s 232ms/step 1/1 [==============================] - 0s 176ms/step This is a Dalmation 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 134ms/step This is a Dalmation 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 126ms/step This is a Dalmation 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 150ms/step This is a Bull Terrier 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Bull Terrier 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 143ms/step This is a Bull Terrier 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 141ms/step This is a Bull Terrier 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 218ms/step This is a Bull Terrier 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 150ms/step This is a Bull Terrier 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 156ms/step This is a Bull Terrier 1/1 [==============================] - 0s 180ms/step 1/1 [==============================] - 0s 163ms/step This is a Pug 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 128ms/step This is a Pug 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Pug 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 150ms/step This is a Pug 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 140ms/step This is a Pug 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 132ms/step This is a Pug 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Pug 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 134ms/step This is a Pug 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 146ms/step This is a Afghan 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 156ms/step This is a Afghan 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 147ms/step This is a Afghan 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Afghan 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a Afghan 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 144ms/step This is a Afghan 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Afghan 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 177ms/step This is a Cairn 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 141ms/step This is a Cairn 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 185ms/step 1/1 [==============================] - 0s 155ms/step This is a Cairn 1/1 [==============================] - 0s 193ms/step 1/1 [==============================] - 0s 131ms/step This is a Cairn 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Cairn 1/1 [==============================] - 0s 178ms/step 1/1 [==============================] - 0s 134ms/step This is a Cairn 1/1 [==============================] - 0s 182ms/step 1/1 [==============================] - 0s 192ms/step This is a Cairn 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 229ms/step This is a Beagle 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 150ms/step This is a Beagle 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Beagle 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Beagle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Beagle 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Beagle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Beagle 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Beagle 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Cockapoo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Bearded Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Labradoodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Cockapoo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Cockapoo 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 152ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Cockapoo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 137ms/step This is a Cockapoo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 144ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 146ms/step This is a Vizsla 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Vizsla 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Vizsla 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 140ms/step This is a Collie 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 185ms/step 1/1 [==============================] - 0s 227ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a American Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a American Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a American Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 129ms/step This is a American Spaniel 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a American Spaniel 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 178ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a African Wild Dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a African Wild Dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a African Wild Dog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Doberman 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 208ms/step This is a Doberman 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 142ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 242ms/step 1/1 [==============================] - 0s 205ms/step This is a Doberman 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 146ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 135ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 146ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 158ms/step This is a German Sheperd 1/1 [==============================] - 0s 218ms/step 1/1 [==============================] - 0s 198ms/step This is a German Sheperd 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a German Sheperd 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 156ms/step This is a German Sheperd 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 190ms/step This is a German Sheperd 1/1 [==============================] - 0s 225ms/step 1/1 [==============================] - 0s 174ms/step This is a German Sheperd 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a German Sheperd 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Komondor 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 125ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Labradoodle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 144ms/step This is a Cockapoo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 267ms/step 1/1 [==============================] - 0s 161ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 140ms/step This is a Cockapoo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Groenendael 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 234ms/step This is a Groenendael 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Groenendael 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 129ms/step This is a Groenendael 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 136ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Groenendael 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Groenendael 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 203ms/step This is a Border Collie 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 205ms/step This is a Border Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Border Collie 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 151ms/step This is a Border Collie 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 150ms/step This is a Border Collie 1/1 [==============================] - 0s 251ms/step 1/1 [==============================] - 0s 133ms/step This is a Border Collie 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 153ms/step This is a Border Collie 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 149ms/step This is a Border Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Shar_Pei 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 159ms/step This is a Shar_Pei 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 155ms/step This is a Shar_Pei 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 130ms/step This is a Shar_Pei 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a Shar_Pei 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Shar_Pei 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Shar_Pei 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Bearded Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Bearded Collie 1/1 [==============================] - 0s 175ms/step 1/1 [==============================] - 0s 190ms/step This is a Bearded Collie 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 211ms/step This is a Bearded Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Bearded Collie 1/1 [==============================] - 0s 165ms/step 1/1 [==============================] - 0s 215ms/step This is a Bearded Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 140ms/step This is a Bermaise 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 134ms/step This is a Bermaise 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Bermaise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 173ms/step This is a Bermaise 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 183ms/step This is a Bermaise 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 163ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 145ms/step This is a Saint Bernard 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Saint Bernard 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Saint Bernard 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 128ms/step This is a Saint Bernard 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Saint Bernard 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Saint Bernard 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Saint Bernard 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 145ms/step This is a Saint Bernard 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Rhodesian 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Rhodesian 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 130ms/step This is a Rhodesian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Rhodesian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Rhodesian 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 146ms/step This is a Rhodesian 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 150ms/step This is a Rhodesian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 130ms/step This is a Siberian Husky 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 170ms/step This is a Siberian Husky 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 176ms/step This is a Siberian Husky 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 200ms/step This is a Siberian Husky 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 218ms/step This is a Siberian Husky 1/1 [==============================] - 0s 159ms/step 1/1 [==============================] - 0s 189ms/step This is a Siberian Husky 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 148ms/step This is a Siberian Husky 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 136ms/step This is a Siberian Husky 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 145ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 150ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 141ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 153ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a Borzoi 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 133ms/step This is a Borzoi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 155ms/step This is a Borzoi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Borzoi 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 148ms/step This is a Borzoi 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 143ms/step This is a Borzoi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Borzoi 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 209ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Chow 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Chow 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Chow 1/1 [==============================] - 0s 202ms/step 1/1 [==============================] - 0s 138ms/step This is a Chow 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 212ms/step This is a Chow 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Chow 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 139ms/step This is a Airedale 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Airedale 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Airedale 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 177ms/step This is a Airedale 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Airedale 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Airedale 1/1 [==============================] - 0s 141ms/step 1/1 [==============================] - 0s 134ms/step This is a Airedale 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Airedale 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Dingo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Dingo 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 128ms/step This is a Dingo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Dingo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Dingo 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step This is a Dingo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Dingo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 127ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a American Hairless 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a American Hairless 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a American Hairless 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a American Hairless 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Poodle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 143ms/step This is a Poodle 1/1 [==============================] - 0s 182ms/step 1/1 [==============================] - 0s 161ms/step This is a Bichon Frise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 174ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Poodle 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 203ms/step This is a Poodle 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Malinois 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a German Sheperd 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 149ms/step This is a Malinois 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 133ms/step This is a Malinois 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Malinois 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Malinois 1/1 [==============================] - 0s 199ms/step 1/1 [==============================] - 0s 136ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Malinois 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 132ms/step This is a Bichon Frise 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 145ms/step This is a Bichon Frise 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 181ms/step This is a Bichon Frise 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 150ms/step This is a Bichon Frise 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Bichon Frise 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Bichon Frise 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Bichon Frise 1/1 [==============================] - 0s 158ms/step 1/1 [==============================] - 0s 171ms/step This is a Bichon Frise 1/1 [==============================] - 0s 178ms/step 1/1 [==============================] - 0s 147ms/step This is a Golden Retriever 1/1 [==============================] - 0s 167ms/step 1/1 [==============================] - 0s 153ms/step This is a Golden Retriever 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 205ms/step This is a Golden Retriever 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 135ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 146ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Golden Retriever 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 149ms/step This is a Golden Retriever 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 132ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Clumber 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 143ms/step This is a Clumber 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step This is a Clumber 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 132ms/step This is a Boxer 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 147ms/step This is a Boxer 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 146ms/step This is a Boxer 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 154ms/step This is a Boxer 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 169ms/step This is a Boxer 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 198ms/step This is a Boxer 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 169ms/step This is a Boxer 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 253ms/step This is a Boxer 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 144ms/step This is a Boston Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 159ms/step This is a Boston Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 230ms/step This is a Boxer 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 127ms/step This is a Pit Bull 1/1 [==============================] - 0s 259ms/step 1/1 [==============================] - 0s 132ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Bloodhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 158ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Bloodhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 167ms/step This is a Bloodhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 145ms/step This is a Bluetick 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 222ms/step This is a Bluetick 1/1 [==============================] - 0s 273ms/step 1/1 [==============================] - 0s 195ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Bluetick 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 165ms/step This is a Bluetick 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Bluetick 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Bluetick The accuracy: 0.925
print(f"validation accuracy: {acc_valid_3:.3f}")
validation accuracy: 0.925
acc_valid_4 = accuracy(set='valid', w1=0.8, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 168ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Yorkie 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 145ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 142ms/step This is a Yorkie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step This is a Yorkie 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 170ms/step This is a Yorkie 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 219ms/step This is a Yorkie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 130ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Greyhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Greyhound 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 127ms/step This is a Greyhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Chihuahua 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Greyhound 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Corgi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Corgi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 155ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 141ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Corgi 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Corgi 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 166ms/step This is a Corgi 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 164ms/step This is a Mex Hairless 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 153ms/step This is a Mex Hairless 1/1 [==============================] - 0s 267ms/step 1/1 [==============================] - 0s 134ms/step This is a Mex Hairless 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 141ms/step This is a Mex Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Mex Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Mex Hairless 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Mex Hairless 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Mex Hairless 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 126ms/step This is a Boston Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 144ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 131ms/step This is a Boston Terrier 1/1 [==============================] - 0s 246ms/step 1/1 [==============================] - 0s 174ms/step This is a Boston Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 150ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Blenheim 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Blenheim 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Blenheim 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 128ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 169ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 156ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 136ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 180ms/step 1/1 [==============================] - 0s 140ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 214ms/step 1/1 [==============================] - 0s 167ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 207ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 182ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 149ms/step This is a Rottweiler 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step This is a Rottweiler 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 141ms/step This is a Rottweiler 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Rottweiler 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 144ms/step This is a Rottweiler 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 169ms/step This is a Rottweiler 1/1 [==============================] - 0s 172ms/step 1/1 [==============================] - 0s 175ms/step This is a Rottweiler 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 193ms/step This is a Rottweiler 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 154ms/step This is a Elk Hound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 149ms/step This is a Elk Hound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 132ms/step This is a Elk Hound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Elk Hound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Elk Hound 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 156ms/step This is a Elk Hound 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 145ms/step This is a Elk Hound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Elk Hound 1/1 [==============================] - 0s 166ms/step 1/1 [==============================] - 0s 153ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 139ms/step This is a Schnauzer 1/1 [==============================] - 0s 218ms/step 1/1 [==============================] - 0s 130ms/step This is a Schnauzer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Schnauzer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 166ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 142ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 152ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 164ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 142ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 138ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Pomeranian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 142ms/step This is a Pomeranian 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 230ms/step This is a Pomeranian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 143ms/step This is a Pomeranian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 136ms/step This is a Pomeranian 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 161ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Pomeranian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Pekinese 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Pekinese 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Pekinese 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a Pekinese 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 153ms/step This is a Pekinese 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 173ms/step This is a Pekinese 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 150ms/step This is a Pekinese 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 147ms/step This is a Pekinese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 155ms/step This is a Pit Bull 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 138ms/step This is a Pit Bull 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 129ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Pit Bull 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 164ms/step This is a Pit Bull 1/1 [==============================] - 0s 176ms/step 1/1 [==============================] - 0s 146ms/step This is a Pit Bull 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 134ms/step This is a Pit Bull 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 182ms/step This is a Basenji 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 128ms/step This is a Basenji 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 142ms/step This is a Basenji 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Basenji 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 153ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 224ms/step This is a Basenji 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 150ms/step This is a French Bulldog 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 145ms/step This is a French Bulldog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 205ms/step This is a French Bulldog 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 138ms/step This is a French Bulldog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 186ms/step This is a French Bulldog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 183ms/step This is a French Bulldog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 156ms/step This is a French Bulldog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 201ms/step This is a French Bulldog 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 154ms/step This is a Coyote 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 257ms/step This is a Coyote 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Coyote 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 151ms/step This is a Coyote 1/1 [==============================] - 0s 187ms/step 1/1 [==============================] - 0s 223ms/step This is a Coyote 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Coyote 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 149ms/step This is a Komondor 1/1 [==============================] - 0s 173ms/step 1/1 [==============================] - 0s 216ms/step This is a Komondor 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 190ms/step This is a Komondor 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 145ms/step This is a Komondor 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 195ms/step This is a Komondor 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Komondor 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Komondor 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Komondor 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Perenees 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Perenees 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 132ms/step This is a Great Perenees 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 126ms/step This is a Great Perenees 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Perenees 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a Great Perenees 1/1 [==============================] - 0s 141ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Perenees 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Great Perenees 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 130ms/step This is a Basset 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Basset 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 154ms/step This is a Basset 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Basset 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Basset 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Basset 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Basset 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 132ms/step This is a Basset 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 146ms/step This is a Pit Bull 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 152ms/step This is a Great Dane 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 171ms/step This is a Great Dane 1/1 [==============================] - 0s 256ms/step 1/1 [==============================] - 0s 211ms/step This is a Great Dane 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Great Dane 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 143ms/step This is a Great Dane 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Bluetick 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 142ms/step This is a Great Dane 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 214ms/step This is a Dhole 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Dhole 1/1 [==============================] - 0s 191ms/step 1/1 [==============================] - 0s 154ms/step This is a Dhole 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step This is a Dhole 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Dhole 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 131ms/step This is a Dhole 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 177ms/step This is a Dhole 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Dhole 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 136ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Lhasa 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 128ms/step This is a Lhasa 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 153ms/step This is a Lhasa 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 149ms/step This is a Maltese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 147ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Labrador 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Labrador 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 126ms/step This is a Labrador 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 126ms/step This is a Labrador 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Golden Retriever 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 125ms/step This is a Great Perenees 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Labrador 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Mex Hairless 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 126ms/step This is a Maltese 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 157ms/step This is a Maltese 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 128ms/step This is a Chinese Crested 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 151ms/step This is a Chinese Crested 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 149ms/step This is a Chinese Crested 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 144ms/step This is a Chinese Crested 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Chinese Crested 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 127ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 142ms/step This is a Cocker 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 147ms/step This is a Cocker 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 168ms/step This is a Cocker 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Cocker 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Cocker 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Cocker 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 128ms/step This is a American Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 149ms/step This is a Chihuahua 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 130ms/step This is a Chihuahua 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Chihuahua 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Chihuahua 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Chihuahua 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Chihuahua 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Chihuahua 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Chihuahua 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Shiba Inu 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Shiba Inu 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 213ms/step This is a Shiba Inu 1/1 [==============================] - 0s 191ms/step 1/1 [==============================] - 0s 174ms/step This is a Shiba Inu 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 148ms/step This is a Shiba Inu 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 137ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 141ms/step This is a Shiba Inu 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 147ms/step This is a Newfoundland 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Newfoundland 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Newfoundland 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 156ms/step This is a Newfoundland 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Newfoundland 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 186ms/step This is a Newfoundland 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 148ms/step This is a Newfoundland 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Newfoundland 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 138ms/step This is a Dalmation 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 145ms/step This is a Dalmation 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 142ms/step This is a Dalmation 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Dalmation 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 129ms/step This is a Dalmation 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 143ms/step This is a Dalmation 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Terrier 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 344ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 140ms/step This is a Bull Terrier 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Bull Terrier 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Bull Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Bull Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 129ms/step This is a Bull Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 140ms/step This is a Bull Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Pug 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 150ms/step This is a Pug 1/1 [==============================] - 0s 171ms/step 1/1 [==============================] - 0s 202ms/step This is a Pug 1/1 [==============================] - 0s 153ms/step 1/1 [==============================] - 0s 196ms/step This is a Pug 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 142ms/step This is a Pug 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 178ms/step This is a Pug 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 131ms/step This is a Pug 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Pug 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Afghan 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 135ms/step This is a Afghan 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 130ms/step This is a Afghan 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Afghan 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Afghan 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 152ms/step This is a Afghan 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Afghan 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 129ms/step This is a Afghan 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Cairn 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 135ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 153ms/step This is a Cairn 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 192ms/step This is a Cairn 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 137ms/step This is a Cairn 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cairn 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Beagle 1/1 [==============================] - 0s 188ms/step 1/1 [==============================] - 0s 244ms/step This is a Beagle 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 220ms/step This is a Beagle 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 134ms/step This is a Beagle 1/1 [==============================] - 0s 151ms/step 1/1 [==============================] - 0s 170ms/step This is a Beagle 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Beagle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 179ms/step This is a Beagle 1/1 [==============================] - 0s 158ms/step 1/1 [==============================] - 0s 202ms/step This is a Beagle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 148ms/step This is a Cockapoo 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Labradoodle 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 132ms/step This is a Cockapoo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 179ms/step This is a Cockapoo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 130ms/step This is a Vizsla 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 147ms/step This is a Vizsla 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Vizsla 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 130ms/step This is a Vizsla 1/1 [==============================] - 0s 167ms/step 1/1 [==============================] - 0s 197ms/step This is a Vizsla 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 241ms/step This is a Vizsla 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 156ms/step This is a Vizsla 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 140ms/step This is a Vizsla 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 127ms/step This is a Collie 1/1 [==============================] - 0s 178ms/step 1/1 [==============================] - 0s 146ms/step This is a Collie 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Collie 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 164ms/step This is a Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 173ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 161ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 141ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 173ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 240ms/step 1/1 [==============================] - 0s 135ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 168ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 146ms/step This is a American Spaniel 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 223ms/step This is a American Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a American Spaniel 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 141ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 130ms/step This is a American Spaniel 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 146ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 187ms/step This is a American Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Maltese 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 162ms/step This is a Maltese 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Maltese 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 133ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Maltese 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 150ms/step This is a Maltese 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 185ms/step This is a African Wild Dog 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 143ms/step This is a African Wild Dog 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 150ms/step This is a African Wild Dog 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 229ms/step This is a African Wild Dog 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a African Wild Dog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a African Wild Dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a African Wild Dog 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 148ms/step This is a African Wild Dog 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 152ms/step This is a Doberman 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Doberman 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 146ms/step This is a Doberman 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 166ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Doberman 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Doberman 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 177ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 155ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 192ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 160ms/step 1/1 [==============================] - 0s 228ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 150ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 187ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 168ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 172ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 203ms/step This is a German Sheperd 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 140ms/step This is a German Sheperd 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 142ms/step This is a German Sheperd 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a German Sheperd 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 184ms/step This is a German Sheperd 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 156ms/step This is a German Sheperd 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 174ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 160ms/step This is a German Sheperd 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 137ms/step This is a Komondor 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 171ms/step This is a Schnauzer 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 138ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 168ms/step This is a Labradoodle 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 249ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 145ms/step This is a Cockapoo 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 154ms/step This is a Poodle 1/1 [==============================] - 0s 154ms/step 1/1 [==============================] - 0s 213ms/step This is a Cockapoo 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step This is a Groenendael 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Groenendael 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Groenendael 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Groenendael 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 170ms/step This is a Groenendael 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Groenendael 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a Groenendael 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Border Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Border Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Border Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Border Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Border Collie 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Border Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Border Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step This is a Border Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Shar_Pei 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Shar_Pei 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Shar_Pei 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Shar_Pei 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 135ms/step This is a Shar_Pei 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 168ms/step This is a Shar_Pei 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Shar_Pei 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Shar_Pei 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 136ms/step This is a Bearded Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Bearded Collie 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bearded Collie 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Bearded Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Bearded Collie 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 150ms/step This is a Bearded Collie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Bermaise 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 201ms/step This is a Bermaise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Bermaise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Bermaise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Bermaise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Saint Bernard 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 169ms/step This is a Saint Bernard 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 202ms/step This is a Saint Bernard 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Saint Bernard 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 192ms/step This is a Saint Bernard 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Saint Bernard 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 144ms/step This is a Saint Bernard 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 140ms/step This is a Rhodesian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Rhodesian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Rhodesian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Rhodesian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Rhodesian 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 146ms/step This is a Siberian Husky 1/1 [==============================] - 0s 195ms/step 1/1 [==============================] - 0s 185ms/step This is a Siberian Husky 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 135ms/step This is a Siberian Husky 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Siberian Husky 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Siberian Husky 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Siberian Husky 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Siberian Husky 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Siberian Husky 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 140ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Borzoi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 139ms/step This is a Borzoi 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Borzoi 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Borzoi 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Borzoi 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Borzoi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Borzoi 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 139ms/step This is a Borzoi 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Chow 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Chow 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Chow 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 147ms/step This is a Chow 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 149ms/step This is a Chow 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 147ms/step This is a Chow 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 151ms/step This is a Chow 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Chow 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Airedale 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Airedale 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Airedale 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Airedale 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Airedale 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Airedale 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 205ms/step This is a Airedale 1/1 [==============================] - 0s 210ms/step 1/1 [==============================] - 0s 168ms/step This is a Airedale 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Dingo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Dingo 1/1 [==============================] - 0s 221ms/step 1/1 [==============================] - 0s 133ms/step This is a Dingo 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 132ms/step This is a Dingo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Dingo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Dingo 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Dingo 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a American Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a American Hairless 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 147ms/step This is a American Hairless 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a American Hairless 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a American Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 127ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 127ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Poodle 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Poodle 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 131ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Poodle 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Poodle 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 181ms/step This is a Poodle 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 138ms/step This is a Poodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Malinois 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 128ms/step This is a German Sheperd 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 127ms/step This is a Malinois 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 168ms/step This is a Malinois 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Malinois 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 159ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 141ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 183ms/step This is a Bichon Frise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 130ms/step This is a Bichon Frise 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Bichon Frise 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Bichon Frise 1/1 [==============================] - 0s 211ms/step 1/1 [==============================] - 0s 141ms/step This is a Golden Retriever 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Golden Retriever 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 173ms/step This is a Golden Retriever 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Golden Retriever 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Golden Retriever 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Golden Retriever 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 126ms/step This is a Golden Retriever 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Golden Retriever 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 128ms/step This is a Clumber 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 205ms/step This is a Clumber 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Clumber 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 128ms/step This is a Boxer 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Boxer 1/1 [==============================] - 0s 358ms/step 1/1 [==============================] - 0s 281ms/step This is a Boxer 1/1 [==============================] - 0s 155ms/step 1/1 [==============================] - 0s 272ms/step This is a Boxer 1/1 [==============================] - 0s 156ms/step 1/1 [==============================] - 0s 164ms/step This is a Boxer 1/1 [==============================] - 0s 146ms/step 1/1 [==============================] - 0s 173ms/step This is a Boxer 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 134ms/step This is a Boston Terrier 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 143ms/step This is a Boxer 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 145ms/step This is a Boston Terrier 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 255ms/step This is a Boxer 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 181ms/step This is a Pit Bull 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 141ms/step This is a Bloodhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 126ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Bloodhound 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Bloodhound 1/1 [==============================] - 0s 103ms/step 1/1 [==============================] - 0s 135ms/step This is a Bloodhound 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 149ms/step This is a Bloodhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 172ms/step This is a Bloodhound 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 127ms/step This is a Bluetick 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Bluetick 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Bluetick 1/1 [==============================] - 0s 102ms/step 1/1 [==============================] - 0s 132ms/step This is a Bluetick 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 129ms/step This is a Bluetick 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Bluetick 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Bluetick The accuracy: 0.9160714285714285
print(f"validation accuracy: {acc_valid_4:.3f}")
validation accuracy: 0.916
acc_valid_5 = accuracy(set='valid', w1=1, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 150ms/step This is a Yorkie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Yorkie 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 203ms/step This is a Yorkie 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 141ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 131ms/step This is a Yorkie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Yorkie 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 149ms/step This is a Yorkie 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 136ms/step This is a Yorkie 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 128ms/step This is a Greyhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 127ms/step This is a Greyhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Greyhound 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 130ms/step This is a Chihuahua 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 129ms/step This is a Greyhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 131ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 133ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Corgi 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Corgi 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 230ms/step This is a Corgi 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 243ms/step This is a Corgi 1/1 [==============================] - 0s 177ms/step 1/1 [==============================] - 0s 156ms/step This is a Corgi 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 176ms/step This is a Corgi 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 154ms/step This is a Mex Hairless 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Mex Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Mex Hairless 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Mex Hairless 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Mex Hairless 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 139ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Boston Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 145ms/step This is a Boston Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 150ms/step This is a Boston Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Blenheim 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 229ms/step This is a Blenheim 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 142ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 134ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 148ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 374ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 160ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Rottweiler 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Rottweiler 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Rottweiler 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Rottweiler 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Rottweiler 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Rottweiler 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 139ms/step This is a Rottweiler 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Rottweiler 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Elk Hound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Elk Hound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Elk Hound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 132ms/step This is a Elk Hound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Schnauzer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Schnauzer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Schnauzer 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 135ms/step This is a Schnauzer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Pomeranian 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 154ms/step This is a Pomeranian 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 169ms/step This is a Pomeranian 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 154ms/step This is a Pomeranian 1/1 [==============================] - 0s 184ms/step 1/1 [==============================] - 0s 150ms/step This is a Pomeranian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Pomeranian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Pomeranian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Pomeranian 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Pekinese 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 138ms/step This is a Pekinese 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Pekinese 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Pekinese 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 132ms/step This is a Maltese 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Pekinese 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Pekinese 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 134ms/step This is a Pekinese 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a Pit Bull 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 138ms/step This is a Pit Bull 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a Pit Bull 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 106ms/step 1/1 [==============================] - 0s 133ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Pit Bull 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 141ms/step This is a Basenji 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Basenji 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Basenji 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Basenji 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Basenji 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Basenji 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 147ms/step This is a French Bulldog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a French Bulldog 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 179ms/step This is a French Bulldog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a French Bulldog 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a French Bulldog 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 177ms/step This is a French Bulldog 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 143ms/step This is a French Bulldog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a French Bulldog 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 222ms/step This is a Coyote 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 151ms/step This is a Coyote 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 153ms/step This is a Coyote 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Coyote 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a Coyote 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Coyote 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Coyote 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 151ms/step This is a Komondor 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Komondor 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 154ms/step This is a Komondor 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Komondor 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Komondor 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Komondor 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 145ms/step This is a Komondor 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 160ms/step This is a Great Perenees 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 146ms/step This is a Great Perenees 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 145ms/step This is a Great Perenees 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Perenees 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 280ms/step This is a Great Perenees 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 165ms/step This is a Great Perenees 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Great Perenees 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 143ms/step This is a Great Perenees 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Basset 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 149ms/step This is a Basset 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Basset 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Basset 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 138ms/step This is a Basset 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 139ms/step This is a Basset 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 149ms/step This is a Basset 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Basset 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 149ms/step This is a Pit Bull 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 146ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Dane 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 159ms/step This is a Vizsla 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 141ms/step This is a Pit Bull 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 145ms/step This is a Boxer 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 141ms/step This is a Bluetick 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 138ms/step This is a Great Dane 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Dhole 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 225ms/step This is a Dhole 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 143ms/step This is a Dhole 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Dhole 1/1 [==============================] - 0s 260ms/step 1/1 [==============================] - 0s 167ms/step This is a Dhole 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Dhole 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 149ms/step This is a Dhole 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 140ms/step This is a Dhole 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Lhasa 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 238ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 147ms/step This is a Maltese 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a Maltese 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 143ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 148ms/step This is a Labrador 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 138ms/step This is a Labrador 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 141ms/step This is a Labrador 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Rottweiler 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 136ms/step This is a Golden Retriever 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Great Perenees 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Labrador 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 142ms/step This is a Mex Hairless 1/1 [==============================] - 0s 206ms/step 1/1 [==============================] - 0s 157ms/step This is a Maltese 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Maltese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Chinese Crested 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Chinese Crested 1/1 [==============================] - 0s 278ms/step 1/1 [==============================] - 0s 257ms/step This is a Chinese Crested 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 138ms/step This is a Chinese Crested 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 130ms/step This is a Chinese Crested 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Cocker 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Cocker 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 200ms/step This is a Cocker 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 182ms/step This is a Cocker 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 127ms/step This is a Cocker 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a Cocker 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 128ms/step This is a American Spaniel 1/1 [==============================] - 0s 264ms/step 1/1 [==============================] - 0s 179ms/step This is a Chihuahua 1/1 [==============================] - 0s 224ms/step 1/1 [==============================] - 0s 192ms/step This is a Chihuahua 1/1 [==============================] - 0s 254ms/step 1/1 [==============================] - 0s 273ms/step This is a Chihuahua 1/1 [==============================] - 0s 253ms/step 1/1 [==============================] - 0s 146ms/step This is a Chihuahua 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Chihuahua 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 173ms/step This is a Chihuahua 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 153ms/step This is a Chihuahua 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 234ms/step This is a Basenji 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Shiba Inu 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 132ms/step This is a Shiba Inu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Shiba Inu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 142ms/step This is a Shiba Inu 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 152ms/step This is a Shiba Inu 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Shiba Inu 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Newfoundland 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step This is a Newfoundland 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a Newfoundland 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Newfoundland 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Newfoundland 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 136ms/step This is a Newfoundland 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Newfoundland 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 130ms/step This is a Newfoundland 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 130ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Dalmation 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 130ms/step This is a Dalmation 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Dalmation 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Basenji 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 138ms/step This is a Bull Terrier 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Bull Terrier 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 166ms/step This is a Bull Terrier 1/1 [==============================] - 0s 190ms/step 1/1 [==============================] - 0s 215ms/step This is a Bull Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Bull Terrier 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 191ms/step This is a Bull Terrier 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 153ms/step This is a Pug 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 143ms/step This is a Pug 1/1 [==============================] - 0s 174ms/step 1/1 [==============================] - 0s 146ms/step This is a Pug 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 161ms/step This is a Pug 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 153ms/step This is a Pug 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 167ms/step This is a Pug 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 149ms/step This is a Pug 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Pug 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 144ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 151ms/step This is a Afghan 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Afghan 1/1 [==============================] - 0s 216ms/step 1/1 [==============================] - 0s 183ms/step This is a Afghan 1/1 [==============================] - 0s 198ms/step 1/1 [==============================] - 0s 221ms/step This is a Afghan 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 155ms/step This is a Afghan 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 173ms/step This is a Afghan 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 172ms/step This is a Afghan 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 171ms/step This is a Cairn 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 178ms/step This is a Cairn 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 156ms/step This is a Cairn 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 148ms/step This is a Cairn 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 145ms/step This is a Cairn 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Cairn 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step This is a Cairn 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 140ms/step This is a Cairn 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Basset 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 150ms/step This is a Beagle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 148ms/step This is a Beagle 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 144ms/step This is a Beagle 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 150ms/step This is a Beagle 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 150ms/step This is a Beagle 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Beagle 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Beagle 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Cockapoo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Bearded Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Labradoodle 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Cockapoo 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Cockapoo 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Cockapoo 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Cockapoo 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Cockapoo 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Vizsla 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Vizsla 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Vizsla 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Vizsla 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Vizsla 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Vizsla 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 143ms/step This is a Vizsla 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 142ms/step This is a Vizsla 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 148ms/step This is a Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Collie 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Collie 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 176ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 168ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 219ms/step 1/1 [==============================] - 0s 348ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 136ms/step This is a American Spaniel 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 144ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 161ms/step This is a American Spaniel 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 1s 571ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a American Spaniel 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Maltese 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Maltese 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Maltese 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Maltese 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 147ms/step This is a Maltese 1/1 [==============================] - 0s 165ms/step 1/1 [==============================] - 0s 265ms/step This is a Maltese 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step This is a Maltese 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Maltese 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 137ms/step This is a African Wild Dog 1/1 [==============================] - 0s 221ms/step 1/1 [==============================] - 0s 185ms/step This is a African Wild Dog 1/1 [==============================] - 0s 204ms/step 1/1 [==============================] - 0s 249ms/step This is a African Wild Dog 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 160ms/step This is a African Wild Dog 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 143ms/step This is a African Wild Dog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a African Wild Dog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a African Wild Dog 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a African Wild Dog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Doberman 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Doberman 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Rottweiler 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Doberman 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Doberman 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Doberman 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Doberman 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Doberman 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 138ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 166ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a German Sheperd 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step This is a German Sheperd 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 299ms/step This is a German Sheperd 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Groenendael 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 138ms/step This is a German Sheperd 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a German Sheperd 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a German Sheperd 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 140ms/step This is a German Sheperd 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Komondor 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Schnauzer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Labradoodle 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Cockapoo 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Cockapoo 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Poodle 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a Labradoodle 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Groenendael 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Groenendael 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Groenendael 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Groenendael 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 135ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Border Collie 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Border Collie 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Border Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a Border Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Border Collie 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 137ms/step This is a Border Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Border Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Border Collie 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 148ms/step This is a Shar_Pei 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Shar_Pei 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Shar_Pei 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Shar_Pei 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Shar_Pei 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Shar_Pei 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 164ms/step This is a Shar_Pei 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Shar_Pei 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 143ms/step This is a Bearded Collie 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 144ms/step This is a Bearded Collie 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 144ms/step This is a Bearded Collie 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 142ms/step This is a Komondor 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 145ms/step This is a Bearded Collie 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 143ms/step This is a Bearded Collie 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 143ms/step This is a Bearded Collie 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Bearded Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Bermaise 1/1 [==============================] - 0s 187ms/step 1/1 [==============================] - 0s 168ms/step This is a Bermaise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Bermaise 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 146ms/step This is a Bermaise 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 140ms/step This is a Bermaise 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Bermaise 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Bermaise 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 149ms/step This is a Bermaise 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 144ms/step This is a Saint Bernard 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Saint Bernard 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 137ms/step This is a Saint Bernard 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 140ms/step This is a Saint Bernard 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Saint Bernard 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Saint Bernard 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 143ms/step This is a Saint Bernard 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Saint Bernard 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Rhodesian 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 143ms/step This is a Bloodhound 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 141ms/step This is a Rhodesian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Rhodesian 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Rhodesian 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 151ms/step This is a Rhodesian 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 143ms/step This is a Vizsla 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Vizsla 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 139ms/step This is a Siberian Husky 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Siberian Husky 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 142ms/step This is a Siberian Husky 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Siberian Husky 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 146ms/step This is a Siberian Husky 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Siberian Husky 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Siberian Husky 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Siberian Husky 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 147ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 147ms/step This is a Borzoi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Borzoi 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 143ms/step This is a Borzoi 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 143ms/step This is a Borzoi 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 145ms/step This is a Borzoi 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Borzoi 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 149ms/step This is a Golden Retriever 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Borzoi 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 139ms/step This is a Chow 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 147ms/step This is a Chow 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 141ms/step This is a Chow 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Chow 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Chow 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 140ms/step This is a Chow 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 160ms/step This is a Chow 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 154ms/step This is a Chow 1/1 [==============================] - 0s 141ms/step 1/1 [==============================] - 0s 175ms/step This is a Airedale 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Airedale 1/1 [==============================] - 0s 217ms/step 1/1 [==============================] - 0s 237ms/step This is a Airedale 1/1 [==============================] - 0s 188ms/step 1/1 [==============================] - 0s 236ms/step This is a Airedale 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 144ms/step This is a Yorkie 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 141ms/step This is a Airedale 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 148ms/step This is a Airedale 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 142ms/step This is a Airedale 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Dingo 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 144ms/step This is a Dingo 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 155ms/step This is a Dingo 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 139ms/step This is a Dingo 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 142ms/step This is a Dingo 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Dingo 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Dhole 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Dingo 1/1 [==============================] - 0s 234ms/step 1/1 [==============================] - 0s 282ms/step This is a American Hairless 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 144ms/step This is a American Hairless 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a American Hairless 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 302ms/step This is a American Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a American Hairless 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a American Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a American Hairless 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a American Hairless 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 139ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 141ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 159ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 145ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 142ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a Poodle 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Poodle 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Bichon Frise 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Bichon Frise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Poodle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 141ms/step This is a Poodle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Malinois 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 143ms/step This is a German Sheperd 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Malinois 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 137ms/step This is a Malinois 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step This is a Malinois 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Malinois 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Malinois 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Malinois 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Bichon Frise 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Bichon Frise 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Bichon Frise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Bichon Frise 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Bichon Frise 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a Bichon Frise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 142ms/step This is a Bichon Frise 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 141ms/step This is a Bichon Frise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Golden Retriever 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Golden Retriever 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 142ms/step This is a Golden Retriever 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 140ms/step This is a Golden Retriever 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 143ms/step This is a Golden Retriever 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 139ms/step This is a Golden Retriever 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Clumber 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Clumber 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Clumber 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Clumber 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 141ms/step This is a Clumber 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 139ms/step This is a Clumber 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step This is a Clumber 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Clumber 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Boxer 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 146ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Boxer 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 181ms/step This is a Boxer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Boxer 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Boxer 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 134ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Boxer 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Boxer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 131ms/step This is a Boxer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Boxer 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 132ms/step This is a Pit Bull 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 137ms/step This is a Bloodhound 1/1 [==============================] - 0s 167ms/step 1/1 [==============================] - 0s 186ms/step This is a Bloodhound 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 135ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Bloodhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Bloodhound 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 135ms/step This is a Bluetick 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Bluetick 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Bluetick 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Bluetick 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Bluetick 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Bluetick The accuracy: 0.8767857142857143
print(f"validation accuracy: {acc_valid_5:.3f}")
validation accuracy: 0.877
From above evaulation, 0.3 will be the weight and the test accuracy is 0.939.
acc_test_hybrid = accuracy(set='test', w1=0.3, thre_score=0.5, thre_num=43)
1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 163ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Yorkie 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 160ms/step This is a Yorkie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 211ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Yorkie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 142ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Yorkie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Greyhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Greyhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 140ms/step This is a Greyhound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Greyhound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Greyhound 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Greyhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Greyhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Corgi 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Corgi 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 136ms/step This is a Corgi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Corgi 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 143ms/step This is a Corgi 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Corgi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Corgi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 143ms/step This is a Mex Hairless 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 143ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Mex Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Mex Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 139ms/step This is a Mex Hairless 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 140ms/step This is a Mex Hairless 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 179ms/step This is a Mex Hairless 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 150ms/step This is a Boston Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Boston Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 149ms/step This is a Boston Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Boston Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Boston Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 144ms/step This is a Boston Terrier 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 284ms/step This is a Boston Terrier 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 142ms/step This is a Blenheim 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 153ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Blenheim 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 158ms/step This is a Blenheim 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Blenheim 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 165ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 136ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 135ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Rottweiler 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Rottweiler 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 138ms/step This is a Rottweiler 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 132ms/step This is a Rottweiler 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Rottweiler 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Rottweiler 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Rottweiler 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Rottweiler 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 186ms/step This is a Elk Hound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Elk Hound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Elk Hound 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Elk Hound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Elk Hound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Elk Hound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 139ms/step This is a Schnauzer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Schnauzer 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Scotch Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Schnauzer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Schnauzer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Schnauzer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 134ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 133ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 139ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Pomeranian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 137ms/step This is a Pomeranian 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Pomeranian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 142ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Pomeranian 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 134ms/step This is a Pomeranian 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Pomeranian 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 149ms/step This is a Pomeranian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Pekinese 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Pekinese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Pekinese 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 142ms/step This is a Pekinese 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 143ms/step This is a Pekinese 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 144ms/step This is a Pekinese 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 134ms/step This is a Pekinese 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Pit Bull 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Pit Bull 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Pit Bull 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Pit Bull 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Pit Bull 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 157ms/step This is a Pit Bull 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 147ms/step This is a Pit Bull 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 141ms/step This is a Basenji 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 142ms/step This is a Basenji 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 144ms/step This is a Basenji 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Basenji 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Basenji 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 152ms/step This is a Basenji 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Basenji 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a French Bulldog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a French Bulldog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a French Bulldog 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a French Bulldog 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a French Bulldog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Coyote 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 134ms/step This is a Coyote 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Coyote 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Coyote 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 152ms/step This is a Coyote 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 135ms/step This is a Coyote 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Komondor 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Komondor 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Komondor 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Komondor 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 135ms/step This is a Komondor 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 138ms/step This is a Komondor 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 157ms/step This is a Komondor 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 235ms/step This is a Great Perenees 1/1 [==============================] - 0s 221ms/step 1/1 [==============================] - 0s 190ms/step This is a Great Perenees 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 155ms/step This is a Great Perenees 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 172ms/step This is a Great Perenees 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 156ms/step This is a Great Perenees 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 147ms/step This is a Great Perenees 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 178ms/step This is a Great Perenees 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 146ms/step This is a Great Perenees 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Basset 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Basset 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 145ms/step This is a Basset 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Basset 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 137ms/step This is a Basset 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 136ms/step This is a Basset 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 136ms/step This is a Basset 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Basset 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Dane 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Dane 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Dane 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 182ms/step This is a Great Dane 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Great Dane 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Great Dane 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 150ms/step This is a Great Dane 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 139ms/step This is a Great Dane 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Dhole 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Dhole 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Dhole 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Dhole 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Dhole 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 138ms/step This is a Dhole 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 161ms/step This is a Dhole 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 133ms/step This is a Dhole 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Lhasa 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Lhasa 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 133ms/step This is a Lhasa 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 234ms/step This is a Lhasa 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Lhasa 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 132ms/step This is a Lhasa 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Lhasa 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 131ms/step This is a Lhasa 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Rottweiler 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Labrador 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Labrador 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Labrador 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Labrador 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Labrador 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Labrador 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Chinese Crested 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Chinese Crested 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 134ms/step This is a Chinese Crested 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Chinese Crested 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Mex Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Chinese Crested 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Chinese Crested 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Cocker 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 140ms/step This is a Cocker 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Cocker 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 136ms/step This is a Cocker 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 146ms/step This is a Cocker 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Cocker 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Chihuahua 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 135ms/step This is a Chihuahua 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 141ms/step This is a Chihuahua 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Chihuahua 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 141ms/step This is a Chihuahua 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 139ms/step This is a Chihuahua 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Chihuahua 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 136ms/step This is a Pomeranian 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Shiba Inu 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Dingo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Dingo 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 134ms/step This is a Shiba Inu 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Shiba Inu 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 145ms/step This is a Shiba Inu 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 145ms/step This is a Shiba Inu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Shiba Inu 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Newfoundland 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 139ms/step This is a Newfoundland 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Newfoundland 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Newfoundland 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Newfoundland 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 134ms/step This is a Newfoundland 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Newfoundland 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 137ms/step This is a Newfoundland 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Dalmation 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Dalmation 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Dalmation 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 144ms/step This is a Dalmation 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 179ms/step This is a Dalmation 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a Dalmation 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Dalmation 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 147ms/step This is a Dalmation 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 142ms/step This is a Bull Terrier 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Bull Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Bull Terrier 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 138ms/step This is a Basenji 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 137ms/step This is a Bull Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Bull Terrier 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 135ms/step This is a Basenji 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 133ms/step This is a Pug 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 141ms/step This is a Pug 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 168ms/step This is a Pug 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 207ms/step This is a Pug 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 158ms/step This is a Pug 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 143ms/step This is a Pug 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 162ms/step This is a Pug 1/1 [==============================] - 0s 139ms/step 1/1 [==============================] - 0s 167ms/step This is a Pug 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 143ms/step This is a Afghan 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 145ms/step This is a Afghan 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Afghan 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 163ms/step This is a Afghan 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 140ms/step This is a Afghan 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 165ms/step This is a Afghan 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 141ms/step This is a Afghan 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 145ms/step This is a Afghan 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 134ms/step This is a Cairn 1/1 [==============================] - 0s 149ms/step 1/1 [==============================] - 0s 162ms/step This is a Cairn 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 141ms/step This is a Cairn 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 136ms/step This is a Cairn 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Cairn 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 143ms/step This is a Cairn 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 133ms/step This is a Cairn 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Cairn 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 207ms/step This is a Beagle 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 137ms/step This is a Beagle 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 155ms/step This is a Beagle 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 139ms/step This is a Beagle 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 148ms/step This is a Beagle 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 160ms/step This is a Beagle 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Beagle 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Beagle 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 178ms/step This is a Cockapoo 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 367ms/step This is a Cockapoo 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 131ms/step This is a Cockapoo 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 131ms/step This is a Cockapoo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step No such class! Your image may not be a dog 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 129ms/step This is a Cockapoo 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 134ms/step This is a Cockapoo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 141ms/step This is a Cockapoo 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 147ms/step This is a Vizsla 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 146ms/step This is a Vizsla 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 147ms/step This is a Vizsla 1/1 [==============================] - 0s 163ms/step 1/1 [==============================] - 0s 270ms/step This is a Vizsla 1/1 [==============================] - 0s 192ms/step 1/1 [==============================] - 0s 163ms/step This is a Vizsla 1/1 [==============================] - 0s 206ms/step 1/1 [==============================] - 0s 187ms/step This is a Vizsla 1/1 [==============================] - 0s 227ms/step 1/1 [==============================] - 0s 309ms/step This is a Vizsla 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 151ms/step This is a Vizsla 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 250ms/step This is a Collie 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 156ms/step This is a Collie 1/1 [==============================] - 0s 186ms/step 1/1 [==============================] - 0s 224ms/step This is a Collie 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 251ms/step This is a Collie 1/1 [==============================] - 0s 157ms/step 1/1 [==============================] - 0s 220ms/step This is a Collie 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 169ms/step This is a Collie 1/1 [==============================] - 0s 145ms/step 1/1 [==============================] - 0s 164ms/step This is a Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 176ms/step This is a Collie 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 143ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Wolfhound 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 134ms/step This is a American Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 130ms/step This is a American Spaniel 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 129ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 105ms/step 1/1 [==============================] - 0s 130ms/step This is a American Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a American Spaniel 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 128ms/step This is a Maltese 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 128ms/step This is a Maltese 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 131ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 131ms/step This is a Maltese 1/1 [==============================] - 0s 107ms/step 1/1 [==============================] - 0s 134ms/step This is a Maltese 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 130ms/step This is a Maltese 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 129ms/step This is a Maltese 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 134ms/step This is a Maltese 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 129ms/step This is a African Wild Dog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 129ms/step This is a African Wild Dog 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 238ms/step This is a African Wild Dog 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 132ms/step This is a African Wild Dog 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a African Wild Dog 1/1 [==============================] - 0s 104ms/step 1/1 [==============================] - 0s 138ms/step This is a African Wild Dog 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 140ms/step This is a African Wild Dog 1/1 [==============================] - 0s 140ms/step 1/1 [==============================] - 0s 195ms/step This is a African Wild Dog 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 161ms/step This is a Doberman 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 141ms/step This is a Doberman 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 156ms/step This is a Doberman 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Doberman 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 129ms/step This is a Doberman 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 168ms/step This is a Doberman 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 141ms/step This is a Doberman 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 153ms/step This is a Doberman 1/1 [==============================] - 0s 214ms/step 1/1 [==============================] - 0s 143ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 159ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 174ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 147ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 144ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 144ms/step This is a Lhasa 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 134ms/step This is a Shih-Tzu 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a German Sheperd 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 179ms/step This is a German Sheperd 1/1 [==============================] - 0s 197ms/step 1/1 [==============================] - 0s 153ms/step This is a German Sheperd 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 162ms/step This is a German Sheperd 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 171ms/step This is a German Sheperd 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 214ms/step This is a German Sheperd 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 141ms/step This is a German Sheperd 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a German Sheperd 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 135ms/step This is a Labradoodle 1/1 [==============================] - 0s 130ms/step 1/1 [==============================] - 0s 141ms/step This is a Labradoodle 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 156ms/step This is a Labradoodle 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Cockapoo 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 147ms/step This is a Labradoodle 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 145ms/step This is a Labradoodle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Labradoodle 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 133ms/step This is a Cockapoo 1/1 [==============================] - 0s 197ms/step 1/1 [==============================] - 0s 151ms/step This is a Groenendael 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 132ms/step This is a Groenendael 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Groenendael 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 154ms/step This is a Groenendael 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 261ms/step This is a Groenendael 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Groenendael 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 148ms/step This is a Groenendael 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 149ms/step This is a Groenendael 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 166ms/step This is a Border Collie 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 151ms/step This is a Border Collie 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 148ms/step This is a Border Collie 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 138ms/step This is a Border Collie 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 134ms/step This is a Border Collie 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 157ms/step This is a Border Collie 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 140ms/step This is a Border Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Border Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Shar_Pei 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 140ms/step This is a Shar_Pei 1/1 [==============================] - 0s 185ms/step 1/1 [==============================] - 0s 139ms/step This is a Shar_Pei 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 148ms/step This is a Shar_Pei 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Shar_Pei 1/1 [==============================] - 0s 170ms/step 1/1 [==============================] - 0s 134ms/step This is a Shar_Pei 1/1 [==============================] - 0s 147ms/step 1/1 [==============================] - 0s 134ms/step This is a Shar_Pei 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 133ms/step This is a Shar_Pei 1/1 [==============================] - 0s 109ms/step 1/1 [==============================] - 0s 133ms/step This is a Bearded Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a Bearded Collie 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 146ms/step This is a Bearded Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Bearded Collie 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 148ms/step This is a Bearded Collie 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 134ms/step This is a Bearded Collie 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 185ms/step This is a Bearded Collie 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 132ms/step This is a Bearded Collie 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 139ms/step This is a Bermaise 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 143ms/step This is a Bermaise 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Bermaise 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 134ms/step This is a Bermaise 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Bermaise 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 149ms/step This is a Bermaise 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 141ms/step This is a Bermaise 1/1 [==============================] - 0s 152ms/step 1/1 [==============================] - 0s 134ms/step This is a Bermaise 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 175ms/step This is a Saint Bernard 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 167ms/step This is a Saint Bernard 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 177ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Saint Bernard 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 146ms/step This is a Saint Bernard 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 134ms/step This is a Saint Bernard 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Saint Bernard 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 152ms/step This is a Saint Bernard 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 138ms/step This is a Rhodesian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 138ms/step This is a Rhodesian 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 147ms/step This is a Rhodesian 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 134ms/step This is a Rhodesian 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 132ms/step This is a Rhodesian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Vizsla 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Rhodesian 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Siberian Husky 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 134ms/step This is a Siberian Husky 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 136ms/step This is a Siberian Husky 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 133ms/step This is a Siberian Husky 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 144ms/step This is a Siberian Husky 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Siberian Husky 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Siberian Husky 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 135ms/step This is a Siberian Husky 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 143ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 220ms/step 1/1 [==============================] - 0s 136ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 153ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 151ms/step This is a Blenheim 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 168ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 150ms/step This is a Japanese Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 136ms/step This is a Borzoi 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 212ms/step This is a Borzoi 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 147ms/step This is a Borzoi 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 146ms/step This is a Borzoi 1/1 [==============================] - 0s 224ms/step 1/1 [==============================] - 0s 168ms/step This is a Borzoi 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Borzoi 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Borzoi 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 151ms/step This is a Borzoi 1/1 [==============================] - 0s 134ms/step 1/1 [==============================] - 0s 164ms/step This is a Chow 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 184ms/step This is a Chow 1/1 [==============================] - 0s 125ms/step 1/1 [==============================] - 0s 175ms/step This is a Chow 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 147ms/step This is a Chow 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 153ms/step This is a Chow 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Chow 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 142ms/step This is a Chow 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Chow 1/1 [==============================] - 0s 110ms/step 1/1 [==============================] - 0s 138ms/step This is a Airedale 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 155ms/step This is a Airedale 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 138ms/step This is a Airedale 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 194ms/step This is a Airedale 1/1 [==============================] - 0s 121ms/step 1/1 [==============================] - 0s 133ms/step This is a Airedale 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 146ms/step This is a Airedale 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 144ms/step This is a Airedale 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Airedale 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 135ms/step This is a Dingo 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 133ms/step This is a Dingo 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 147ms/step This is a Dingo 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 148ms/step This is a Dingo 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 143ms/step This is a Dingo 1/1 [==============================] - 0s 157ms/step 1/1 [==============================] - 0s 159ms/step This is a Dingo 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 314ms/step This is a Dingo 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Dingo 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 141ms/step This is a American Hairless 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 136ms/step This is a American Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 139ms/step This is a Mex Hairless 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 142ms/step This is a American Hairless 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 131ms/step This is a American Hairless 1/1 [==============================] - 0s 153ms/step 1/1 [==============================] - 0s 142ms/step This is a American Hairless 1/1 [==============================] - 0s 162ms/step 1/1 [==============================] - 0s 150ms/step This is a American Hairless 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 136ms/step This is a Mex Hairless 1/1 [==============================] - 0s 128ms/step 1/1 [==============================] - 0s 175ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 120ms/step 1/1 [==============================] - 0s 136ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 133ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 132ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 122ms/step 1/1 [==============================] - 0s 134ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 149ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Irish Spaniel 1/1 [==============================] - 0s 135ms/step 1/1 [==============================] - 0s 164ms/step This is a Poodle 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 138ms/step This is a Poodle 1/1 [==============================] - 0s 144ms/step 1/1 [==============================] - 0s 137ms/step This is a Poodle 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 133ms/step This is a Poodle 1/1 [==============================] - 0s 124ms/step 1/1 [==============================] - 0s 146ms/step This is a Poodle 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 134ms/step This is a Poodle 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 149ms/step This is a Poodle 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 170ms/step This is a Poodle 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 150ms/step This is a Malinois 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 161ms/step This is a Malinois 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 135ms/step This is a Malinois 1/1 [==============================] - 0s 133ms/step 1/1 [==============================] - 0s 140ms/step This is a Malinois 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 139ms/step This is a Malinois 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 161ms/step This is a Malinois 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 131ms/step This is a Malinois 1/1 [==============================] - 0s 108ms/step 1/1 [==============================] - 0s 131ms/step This is a Malinois 1/1 [==============================] - 0s 168ms/step 1/1 [==============================] - 0s 249ms/step This is a Bichon Frise 1/1 [==============================] - 0s 143ms/step 1/1 [==============================] - 0s 232ms/step This is a Bichon Frise 1/1 [==============================] - 0s 179ms/step 1/1 [==============================] - 0s 214ms/step This is a Bichon Frise 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 167ms/step This is a Bichon Frise 1/1 [==============================] - 0s 132ms/step 1/1 [==============================] - 0s 163ms/step This is a Bichon Frise 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 166ms/step This is a Bichon Frise 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 142ms/step This is a Bichon Frise 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 145ms/step This is a Bichon Frise 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 153ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Golden Retriever 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Golden Retriever 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 145ms/step This is a Golden Retriever 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Golden Retriever 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 201ms/step This is a Golden Retriever 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 240ms/step This is a Clumber 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 142ms/step This is a Clumber 1/1 [==============================] - 0s 117ms/step 1/1 [==============================] - 0s 136ms/step This is a Clumber 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 136ms/step This is a Clumber 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 135ms/step This is a Clumber 1/1 [==============================] - 0s 137ms/step 1/1 [==============================] - 0s 152ms/step This is a Clumber 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 135ms/step This is a Clumber 1/1 [==============================] - 0s 194ms/step 1/1 [==============================] - 0s 146ms/step This is a Clumber 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 145ms/step This is a Boxer 1/1 [==============================] - 0s 115ms/step 1/1 [==============================] - 0s 138ms/step This is a Boxer 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Boxer 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 237ms/step This is a Boxer 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 146ms/step This is a Boxer 1/1 [==============================] - 0s 126ms/step 1/1 [==============================] - 0s 147ms/step This is a Boxer 1/1 [==============================] - 0s 150ms/step 1/1 [==============================] - 0s 260ms/step This is a Boxer 1/1 [==============================] - 0s 142ms/step 1/1 [==============================] - 0s 154ms/step This is a Boxer 1/1 [==============================] - 0s 136ms/step 1/1 [==============================] - 0s 154ms/step This is a French Bulldog 1/1 [==============================] - 0s 111ms/step 1/1 [==============================] - 0s 157ms/step This is a Boxer 1/1 [==============================] - 0s 138ms/step 1/1 [==============================] - 0s 159ms/step This is a Bull Mastiff 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 138ms/step This is a Boston Terrier 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 135ms/step This is a Boston Terrier 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Boston Terrier 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 146ms/step This is a Boston Terrier 1/1 [==============================] - 0s 123ms/step 1/1 [==============================] - 0s 151ms/step This is a Boston Terrier 1/1 [==============================] - 0s 185ms/step 1/1 [==============================] - 0s 150ms/step This is a Bloodhound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 143ms/step This is a Bloodhound 1/1 [==============================] - 0s 114ms/step 1/1 [==============================] - 0s 140ms/step This is a Bloodhound 1/1 [==============================] - 0s 112ms/step 1/1 [==============================] - 0s 144ms/step This is a Bloodhound 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 137ms/step This is a Bloodhound 1/1 [==============================] - 0s 118ms/step 1/1 [==============================] - 0s 133ms/step This is a Bloodhound 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 134ms/step This is a Bloodhound 1/1 [==============================] - 0s 169ms/step 1/1 [==============================] - 0s 160ms/step This is a Bloodhound 1/1 [==============================] - 0s 119ms/step 1/1 [==============================] - 0s 140ms/step This is a Bluetick 1/1 [==============================] - 0s 113ms/step 1/1 [==============================] - 0s 138ms/step This is a Bluetick 1/1 [==============================] - 0s 131ms/step 1/1 [==============================] - 0s 141ms/step This is a Bluetick 1/1 [==============================] - 0s 116ms/step 1/1 [==============================] - 0s 136ms/step This is a Bluetick 1/1 [==============================] - 0s 195ms/step 1/1 [==============================] - 0s 196ms/step This is a Bluetick 1/1 [==============================] - 0s 148ms/step 1/1 [==============================] - 0s 240ms/step This is a Bluetick 1/1 [==============================] - 0s 127ms/step 1/1 [==============================] - 0s 169ms/step This is a Bluetick 1/1 [==============================] - 0s 129ms/step 1/1 [==============================] - 0s 251ms/step This is a Bluetick The accuracy: 0.9392857142857143
print(f"Test accuracy: {acc_test_hybrid:.3f}")
Test accuracy: 0.939
Two CNN models will be built by transfer learning. The first use ResNet50 and the second one use Xception. After building the models, their test accuracy will be calcualted for comparison. This section is done seperately on Colab and the code in this section basically follows the code in the AASD 4015 Project 1 for simplicity.
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.utils import image_dataset_from_directory
import matplotlib.pyplot as plt
from google.colab import drive
drive.mount('/content/gdrive')
Mounted at /content/gdrive
%cd /content/gdrive/MyDrive/AASD-4015-P2/
/content/gdrive/MyDrive/AASD-4015-P2
train_dataset = image_dataset_from_directory(
'/content/gdrive/MyDrive/AASD-4015-P2/breed/train',
image_size=(224, 224),
batch_size=32)
validation_dataset = image_dataset_from_directory(
'/content/gdrive/MyDrive/AASD-4015-P2/breed/valid',
image_size=(224, 224),
batch_size=32)
test_dataset = image_dataset_from_directory(
'/content/gdrive/MyDrive/AASD-4015-P2/breed/test',
image_size=(224, 224),
batch_size=32)
Found 4480 files belonging to 70 classes. Found 560 files belonging to 70 classes. Found 560 files belonging to 70 classes.
class_names = train_dataset.class_names
def plot_graph(history_model):
accuracy = history_model.history["accuracy"]
val_accuracy = history_model.history["val_accuracy"]
loss = history_model.history["loss"]
val_loss = history_model.history["val_loss"]
epochs = range(1, len(accuracy) + 1)
plt.plot(epochs, accuracy, "bo", label="Training accuracy")
plt.plot(epochs, val_accuracy, "b", label="Validation accuracy")
plt.title("Training and validation accuracy")
plt.legend()
plt.figure()
plt.plot(epochs, loss, "bo", label="Training loss")
plt.plot(epochs, val_loss, "b", label="Validation loss")
plt.title("Training and validation loss")
plt.legend()
plt.show()
conv_base_resnet = keras.applications.resnet.ResNet50(
weights='imagenet',
include_top=False,
input_shape=(224, 224, 3))
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5 94765736/94765736 [==============================] - 0s 0us/step
conv_base_resnet.trainable = False
inputs = keras.Input(shape=(224, 224, 3))
x = keras.applications.resnet.preprocess_input(inputs)
x = conv_base_resnet(x)
x = layers.Flatten()(x)
outputs = layers.Dense(70, activation='softmax')(x)
model_base_resnet = keras.Model(inputs, outputs)
model_base_resnet.compile(loss='sparse_categorical_crossentropy',
optimizer='rmsprop',
metrics=["accuracy"])
import os
if not os.path.exists('saved_model'):
os.makedirs('saved_model')
callbacks = [
keras.callbacks.ModelCheckpoint(
filepath="saved_model/model_base_resnet.h5",
save_best_only=True,
monitor="val_loss")
]
history_base_resnet = model_base_resnet.fit(
train_dataset,
epochs=30,
validation_data=validation_dataset,
callbacks=callbacks)
Epoch 1/30 140/140 [==============================] - 125s 771ms/step - loss: 11.0455 - accuracy: 0.6217 - val_loss: 3.1114 - val_accuracy: 0.8536 Epoch 2/30 140/140 [==============================] - 3s 24ms/step - loss: 1.6365 - accuracy: 0.9208 - val_loss: 3.6170 - val_accuracy: 0.8482 Epoch 3/30 140/140 [==============================] - 4s 28ms/step - loss: 0.6589 - accuracy: 0.9621 - val_loss: 2.0376 - val_accuracy: 0.8982 Epoch 4/30 140/140 [==============================] - 4s 28ms/step - loss: 0.2731 - accuracy: 0.9835 - val_loss: 1.7043 - val_accuracy: 0.9143 Epoch 5/30 140/140 [==============================] - 4s 24ms/step - loss: 0.1689 - accuracy: 0.9920 - val_loss: 2.0511 - val_accuracy: 0.8946 Epoch 6/30 140/140 [==============================] - 3s 24ms/step - loss: 0.1229 - accuracy: 0.9935 - val_loss: 2.0532 - val_accuracy: 0.9071 Epoch 7/30 140/140 [==============================] - 3s 24ms/step - loss: 0.0501 - accuracy: 0.9971 - val_loss: 1.8295 - val_accuracy: 0.9089 Epoch 8/30 140/140 [==============================] - 7s 47ms/step - loss: 0.0066 - accuracy: 0.9996 - val_loss: 1.5101 - val_accuracy: 0.9161 Epoch 9/30 140/140 [==============================] - 4s 29ms/step - loss: 3.1904e-08 - accuracy: 1.0000 - val_loss: 1.5101 - val_accuracy: 0.9179 Epoch 10/30 140/140 [==============================] - 4s 28ms/step - loss: 1.6311e-08 - accuracy: 1.0000 - val_loss: 1.5100 - val_accuracy: 0.9179 Epoch 11/30 140/140 [==============================] - 4s 29ms/step - loss: 1.3172e-08 - accuracy: 1.0000 - val_loss: 1.5098 - val_accuracy: 0.9179 Epoch 12/30 140/140 [==============================] - 4s 29ms/step - loss: 1.1096e-08 - accuracy: 1.0000 - val_loss: 1.5097 - val_accuracy: 0.9179 Epoch 13/30 140/140 [==============================] - 4s 29ms/step - loss: 9.6325e-09 - accuracy: 1.0000 - val_loss: 1.5096 - val_accuracy: 0.9179 Epoch 14/30 140/140 [==============================] - 4s 28ms/step - loss: 8.6214e-09 - accuracy: 1.0000 - val_loss: 1.5095 - val_accuracy: 0.9179 Epoch 15/30 140/140 [==============================] - 4s 28ms/step - loss: 7.8497e-09 - accuracy: 1.0000 - val_loss: 1.5094 - val_accuracy: 0.9179 Epoch 16/30 140/140 [==============================] - 4s 29ms/step - loss: 7.1845e-09 - accuracy: 1.0000 - val_loss: 1.5094 - val_accuracy: 0.9179 Epoch 17/30 140/140 [==============================] - 4s 29ms/step - loss: 6.7321e-09 - accuracy: 1.0000 - val_loss: 1.5093 - val_accuracy: 0.9179 Epoch 18/30 140/140 [==============================] - 4s 29ms/step - loss: 6.1999e-09 - accuracy: 1.0000 - val_loss: 1.5092 - val_accuracy: 0.9161 Epoch 19/30 140/140 [==============================] - 4s 28ms/step - loss: 5.7476e-09 - accuracy: 1.0000 - val_loss: 1.5092 - val_accuracy: 0.9179 Epoch 20/30 140/140 [==============================] - 4s 29ms/step - loss: 5.4283e-09 - accuracy: 1.0000 - val_loss: 1.5091 - val_accuracy: 0.9179 Epoch 21/30 140/140 [==============================] - 4s 29ms/step - loss: 5.1356e-09 - accuracy: 1.0000 - val_loss: 1.5090 - val_accuracy: 0.9179 Epoch 22/30 140/140 [==============================] - 4s 29ms/step - loss: 4.8695e-09 - accuracy: 1.0000 - val_loss: 1.5089 - val_accuracy: 0.9179 Epoch 23/30 140/140 [==============================] - 4s 29ms/step - loss: 4.7098e-09 - accuracy: 1.0000 - val_loss: 1.5089 - val_accuracy: 0.9179 Epoch 24/30 140/140 [==============================] - 4s 29ms/step - loss: 4.3373e-09 - accuracy: 1.0000 - val_loss: 1.5088 - val_accuracy: 0.9179 Epoch 25/30 140/140 [==============================] - 4s 29ms/step - loss: 4.2043e-09 - accuracy: 1.0000 - val_loss: 1.5088 - val_accuracy: 0.9179 Epoch 26/30 140/140 [==============================] - 4s 29ms/step - loss: 4.0446e-09 - accuracy: 1.0000 - val_loss: 1.5087 - val_accuracy: 0.9179 Epoch 27/30 140/140 [==============================] - 4s 29ms/step - loss: 3.9648e-09 - accuracy: 1.0000 - val_loss: 1.5087 - val_accuracy: 0.9179 Epoch 28/30 140/140 [==============================] - 4s 29ms/step - loss: 3.7519e-09 - accuracy: 1.0000 - val_loss: 1.5086 - val_accuracy: 0.9179 Epoch 29/30 140/140 [==============================] - 4s 29ms/step - loss: 3.6189e-09 - accuracy: 1.0000 - val_loss: 1.5086 - val_accuracy: 0.9179 Epoch 30/30 140/140 [==============================] - 4s 29ms/step - loss: 3.4592e-09 - accuracy: 1.0000 - val_loss: 1.5085 - val_accuracy: 0.9179
plot_graph(history_base_resnet)
test_model = keras.models.load_model("saved_model/model_base_resnet.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 12s 305ms/step - loss: 2.4228 - accuracy: 0.9125 Test accuracy: 0.913 Test loss: 2.423
conv_base_xception = keras.applications.xception.Xception(
weights='imagenet',
include_top=False,
input_shape=(224, 224, 3))
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5 83683744/83683744 [==============================] - 0s 0us/step
conv_base_xception.trainable = False
inputs = keras.Input(shape=(224, 224, 3))
x = keras.applications.xception.preprocess_input(inputs)
x = conv_base_xception(x)
x = layers.Flatten()(x)
outputs = layers.Dense(70, activation='softmax')(x)
model_base_xception = keras.Model(inputs, outputs)
model_base_xception.compile(loss='sparse_categorical_crossentropy',
optimizer='rmsprop',
metrics=["accuracy"])
callbacks = [
keras.callbacks.ModelCheckpoint(
filepath="saved_model/model_base_xception.h5",
save_best_only=True,
monitor="val_loss")
]
history_base_xception = model_base_xception.fit(
train_dataset,
epochs=30,
validation_data=validation_dataset,
callbacks=callbacks)
Epoch 1/30 140/140 [==============================] - 8s 34ms/step - loss: 4.3587 - accuracy: 0.7634 - val_loss: 1.7327 - val_accuracy: 0.9000 Epoch 2/30 140/140 [==============================] - 4s 28ms/step - loss: 1.4758 - accuracy: 0.9107 - val_loss: 1.1571 - val_accuracy: 0.9232 Epoch 3/30 140/140 [==============================] - 4s 24ms/step - loss: 0.9283 - accuracy: 0.9431 - val_loss: 1.4436 - val_accuracy: 0.9143 Epoch 4/30 140/140 [==============================] - 4s 24ms/step - loss: 0.5900 - accuracy: 0.9554 - val_loss: 1.2429 - val_accuracy: 0.9268 Epoch 5/30 140/140 [==============================] - 4s 24ms/step - loss: 0.4136 - accuracy: 0.9710 - val_loss: 1.4464 - val_accuracy: 0.9250 Epoch 6/30 140/140 [==============================] - 5s 34ms/step - loss: 0.2539 - accuracy: 0.9783 - val_loss: 0.8853 - val_accuracy: 0.9339 Epoch 7/30 140/140 [==============================] - 4s 24ms/step - loss: 0.1742 - accuracy: 0.9855 - val_loss: 0.9685 - val_accuracy: 0.9411 Epoch 8/30 140/140 [==============================] - 4s 24ms/step - loss: 0.1323 - accuracy: 0.9873 - val_loss: 0.9970 - val_accuracy: 0.9446 Epoch 9/30 140/140 [==============================] - 4s 24ms/step - loss: 0.1063 - accuracy: 0.9882 - val_loss: 1.1518 - val_accuracy: 0.9446 Epoch 10/30 140/140 [==============================] - 4s 24ms/step - loss: 0.0748 - accuracy: 0.9924 - val_loss: 1.3261 - val_accuracy: 0.9375 Epoch 11/30 140/140 [==============================] - 3s 24ms/step - loss: 0.0537 - accuracy: 0.9940 - val_loss: 1.0819 - val_accuracy: 0.9446 Epoch 12/30 140/140 [==============================] - 4s 24ms/step - loss: 0.0337 - accuracy: 0.9962 - val_loss: 0.9468 - val_accuracy: 0.9500 Epoch 13/30 140/140 [==============================] - 6s 44ms/step - loss: 0.0516 - accuracy: 0.9929 - val_loss: 0.8734 - val_accuracy: 0.9571 Epoch 14/30 140/140 [==============================] - 4s 24ms/step - loss: 0.0361 - accuracy: 0.9940 - val_loss: 0.9657 - val_accuracy: 0.9464 Epoch 15/30 140/140 [==============================] - 4s 24ms/step - loss: 0.0276 - accuracy: 0.9960 - val_loss: 1.0432 - val_accuracy: 0.9571 Epoch 16/30 140/140 [==============================] - 4s 28ms/step - loss: 0.0136 - accuracy: 0.9989 - val_loss: 0.8436 - val_accuracy: 0.9607 Epoch 17/30 140/140 [==============================] - 4s 28ms/step - loss: 1.1761e-07 - accuracy: 1.0000 - val_loss: 0.8429 - val_accuracy: 0.9607 Epoch 18/30 140/140 [==============================] - 4s 28ms/step - loss: 9.7176e-08 - accuracy: 1.0000 - val_loss: 0.8424 - val_accuracy: 0.9607 Epoch 19/30 140/140 [==============================] - 4s 28ms/step - loss: 8.4084e-08 - accuracy: 1.0000 - val_loss: 0.8419 - val_accuracy: 0.9607 Epoch 20/30 140/140 [==============================] - 4s 28ms/step - loss: 7.4718e-08 - accuracy: 1.0000 - val_loss: 0.8415 - val_accuracy: 0.9607 Epoch 21/30 140/140 [==============================] - 4s 28ms/step - loss: 6.7507e-08 - accuracy: 1.0000 - val_loss: 0.8412 - val_accuracy: 0.9607 Epoch 22/30 140/140 [==============================] - 4s 28ms/step - loss: 6.1999e-08 - accuracy: 1.0000 - val_loss: 0.8408 - val_accuracy: 0.9607 Epoch 23/30 140/140 [==============================] - 4s 28ms/step - loss: 5.7316e-08 - accuracy: 1.0000 - val_loss: 0.8406 - val_accuracy: 0.9607 Epoch 24/30 140/140 [==============================] - 4s 28ms/step - loss: 5.3644e-08 - accuracy: 1.0000 - val_loss: 0.8403 - val_accuracy: 0.9607 Epoch 25/30 140/140 [==============================] - 4s 28ms/step - loss: 5.0371e-08 - accuracy: 1.0000 - val_loss: 0.8401 - val_accuracy: 0.9607 Epoch 26/30 140/140 [==============================] - 4s 28ms/step - loss: 4.7524e-08 - accuracy: 1.0000 - val_loss: 0.8399 - val_accuracy: 0.9607 Epoch 27/30 140/140 [==============================] - 4s 28ms/step - loss: 4.5023e-08 - accuracy: 1.0000 - val_loss: 0.8397 - val_accuracy: 0.9607 Epoch 28/30 140/140 [==============================] - 4s 28ms/step - loss: 4.2947e-08 - accuracy: 1.0000 - val_loss: 0.8395 - val_accuracy: 0.9607 Epoch 29/30 140/140 [==============================] - 4s 28ms/step - loss: 4.1084e-08 - accuracy: 1.0000 - val_loss: 0.8393 - val_accuracy: 0.9607 Epoch 30/30 140/140 [==============================] - 4s 28ms/step - loss: 3.9461e-08 - accuracy: 1.0000 - val_loss: 0.8391 - val_accuracy: 0.9607
plot_graph(history_base_xception)
test_model = keras.models.load_model("saved_model/model_base_xception.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 22ms/step - loss: 0.7850 - accuracy: 0.9625 Test accuracy: 0.962 Test loss: 0.785
Last but not least, let also perform simple fine-tuning to the above two baseline models and make comparison. The approach and code of fine-tuning basically follows the latter part of the AASD 4015 Project 1.
conv_base_resnet.trainable = True
for layer in conv_base_resnet.layers[:-4]:
layer.trainable = False
def exponential_decay(lr0, s):
def exponential_decay_fn(epoch):
return lr0 * 0.1**(epoch / s)
return exponential_decay_fn
exponential_decay_fn = exponential_decay(lr0=0.00001, s=80)
lr_scheduler = keras.callbacks.LearningRateScheduler(exponential_decay_fn)
model_base_resnet.compile(loss="sparse_categorical_crossentropy",
optimizer="adam",
metrics=["accuracy"])
callbacks = [
keras.callbacks.ModelCheckpoint(
filepath="saved_model/model_base_resnet_fine_tuned.h5",
save_best_only=True,
monitor="val_loss"),
lr_scheduler
]
history_base_resnet_fine_tuned = model_base_resnet.fit(
train_dataset,
epochs=30,
validation_data=validation_dataset,
callbacks=callbacks)
Epoch 1/30 140/140 [==============================] - 11s 38ms/step - loss: 4.9968e-06 - accuracy: 1.0000 - val_loss: 1.5950 - val_accuracy: 0.9161 - lr: 1.0000e-05 Epoch 2/30 140/140 [==============================] - 4s 26ms/step - loss: 4.5205e-08 - accuracy: 1.0000 - val_loss: 1.6323 - val_accuracy: 0.9179 - lr: 9.7163e-06 Epoch 3/30 140/140 [==============================] - 4s 26ms/step - loss: 4.0126e-08 - accuracy: 1.0000 - val_loss: 1.6271 - val_accuracy: 0.9179 - lr: 9.4406e-06 Epoch 4/30 140/140 [==============================] - 4s 27ms/step - loss: 6.1169e-08 - accuracy: 1.0000 - val_loss: 1.6277 - val_accuracy: 0.9179 - lr: 9.1728e-06 Epoch 5/30 140/140 [==============================] - 4s 26ms/step - loss: 6.0137e-09 - accuracy: 1.0000 - val_loss: 1.6256 - val_accuracy: 0.9179 - lr: 8.9125e-06 Epoch 6/30 140/140 [==============================] - 4s 26ms/step - loss: 5.3218e-10 - accuracy: 1.0000 - val_loss: 1.6253 - val_accuracy: 0.9179 - lr: 8.6596e-06 Epoch 7/30 140/140 [==============================] - 4s 26ms/step - loss: 7.7167e-10 - accuracy: 1.0000 - val_loss: 1.6238 - val_accuracy: 0.9179 - lr: 8.4140e-06 Epoch 8/30 140/140 [==============================] - 4s 26ms/step - loss: 1.3171e-08 - accuracy: 1.0000 - val_loss: 1.6203 - val_accuracy: 0.9179 - lr: 8.1752e-06 Epoch 9/30 140/140 [==============================] - 4s 26ms/step - loss: 1.5966e-10 - accuracy: 1.0000 - val_loss: 1.6200 - val_accuracy: 0.9179 - lr: 7.9433e-06 Epoch 10/30 140/140 [==============================] - 4s 26ms/step - loss: 1.0111e-09 - accuracy: 1.0000 - val_loss: 1.6202 - val_accuracy: 0.9196 - lr: 7.7179e-06 Epoch 11/30 140/140 [==============================] - 4s 26ms/step - loss: 6.1201e-10 - accuracy: 1.0000 - val_loss: 1.6198 - val_accuracy: 0.9196 - lr: 7.4989e-06 Epoch 12/30 140/140 [==============================] - 4s 26ms/step - loss: 4.7897e-10 - accuracy: 1.0000 - val_loss: 1.6200 - val_accuracy: 0.9196 - lr: 7.2862e-06 Epoch 13/30 140/140 [==============================] - 4s 26ms/step - loss: 3.9914e-10 - accuracy: 1.0000 - val_loss: 1.6201 - val_accuracy: 0.9196 - lr: 7.0795e-06 Epoch 14/30 140/140 [==============================] - 4s 26ms/step - loss: 5.8540e-10 - accuracy: 1.0000 - val_loss: 1.6207 - val_accuracy: 0.9196 - lr: 6.8786e-06 Epoch 15/30 140/140 [==============================] - 4s 26ms/step - loss: 1.5460e-08 - accuracy: 1.0000 - val_loss: 1.6198 - val_accuracy: 0.9196 - lr: 6.6834e-06 Epoch 16/30 140/140 [==============================] - 4s 26ms/step - loss: 3.4592e-10 - accuracy: 1.0000 - val_loss: 1.6204 - val_accuracy: 0.9196 - lr: 6.4938e-06 Epoch 17/30 140/140 [==============================] - 4s 26ms/step - loss: 2.9270e-10 - accuracy: 1.0000 - val_loss: 1.6208 - val_accuracy: 0.9196 - lr: 6.3096e-06 Epoch 18/30 140/140 [==============================] - 4s 26ms/step - loss: 1.5965e-09 - accuracy: 1.0000 - val_loss: 1.6182 - val_accuracy: 0.9196 - lr: 6.1306e-06 Epoch 19/30 140/140 [==============================] - 4s 26ms/step - loss: 3.1931e-10 - accuracy: 1.0000 - val_loss: 1.6185 - val_accuracy: 0.9196 - lr: 5.9566e-06 Epoch 20/30 140/140 [==============================] - 4s 26ms/step - loss: 5.0557e-09 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.7876e-06 Epoch 21/30 140/140 [==============================] - 4s 26ms/step - loss: 5.8540e-10 - accuracy: 1.0000 - val_loss: 1.6147 - val_accuracy: 0.9196 - lr: 5.6234e-06 Epoch 22/30 140/140 [==============================] - 4s 26ms/step - loss: 2.1287e-10 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.4639e-06 Epoch 23/30 140/140 [==============================] - 4s 27ms/step - loss: 4.7897e-10 - accuracy: 1.0000 - val_loss: 1.6145 - val_accuracy: 0.9196 - lr: 5.3088e-06 Epoch 24/30 140/140 [==============================] - 4s 26ms/step - loss: 9.8454e-10 - accuracy: 1.0000 - val_loss: 1.6172 - val_accuracy: 0.9196 - lr: 5.1582e-06 Epoch 25/30 140/140 [==============================] - 4s 26ms/step - loss: 1.1176e-09 - accuracy: 1.0000 - val_loss: 1.6151 - val_accuracy: 0.9196 - lr: 5.0119e-06 Epoch 26/30 140/140 [==============================] - 4s 26ms/step - loss: 2.1287e-10 - accuracy: 1.0000 - val_loss: 1.6154 - val_accuracy: 0.9196 - lr: 4.8697e-06 Epoch 27/30 140/140 [==============================] - 4s 26ms/step - loss: 3.7253e-10 - accuracy: 1.0000 - val_loss: 1.6141 - val_accuracy: 0.9196 - lr: 4.7315e-06 Epoch 28/30 140/140 [==============================] - 4s 26ms/step - loss: 4.2575e-10 - accuracy: 1.0000 - val_loss: 1.6138 - val_accuracy: 0.9196 - lr: 4.5973e-06 Epoch 29/30 140/140 [==============================] - 4s 26ms/step - loss: 1.5966e-10 - accuracy: 1.0000 - val_loss: 1.6135 - val_accuracy: 0.9196 - lr: 4.4668e-06 Epoch 30/30 140/140 [==============================] - 4s 26ms/step - loss: 1.3305e-10 - accuracy: 1.0000 - val_loss: 1.6129 - val_accuracy: 0.9196 - lr: 4.3401e-06
plot_graph(history_base_resnet_fine_tuned)
test_model = keras.models.load_model("saved_model/model_base_resnet_fine_tuned.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 20ms/step - loss: 2.4429 - accuracy: 0.9161 Test accuracy: 0.916 Test loss: 2.443
conv_base_xception.trainable = True
for layer in conv_base_xception.layers[:-4]:
layer.trainable = False
model_base_xception.compile(loss="sparse_categorical_crossentropy",
optimizer="adam",
metrics=["accuracy"])
callbacks = [
keras.callbacks.ModelCheckpoint(
filepath="saved_model/model_base_xception_fine_tuned.h5",
save_best_only=True,
monitor="val_loss"),
lr_scheduler
]
history_base_xception_fine_tuned = model_base_xception.fit(
train_dataset,
epochs=30,
validation_data=validation_dataset,
callbacks=callbacks)
Epoch 1/30 140/140 [==============================] - 10s 38ms/step - loss: 0.0041 - accuracy: 0.9989 - val_loss: 0.6935 - val_accuracy: 0.9554 - lr: 1.0000e-05 Epoch 2/30 140/140 [==============================] - 5s 33ms/step - loss: 0.0019 - accuracy: 0.9996 - val_loss: 0.6461 - val_accuracy: 0.9518 - lr: 9.7163e-06 Epoch 3/30 140/140 [==============================] - 5s 33ms/step - loss: 6.3873e-04 - accuracy: 0.9998 - val_loss: 0.6383 - val_accuracy: 0.9536 - lr: 9.4406e-06 Epoch 4/30 140/140 [==============================] - 4s 29ms/step - loss: 6.9924e-06 - accuracy: 1.0000 - val_loss: 0.6401 - val_accuracy: 0.9536 - lr: 9.1728e-06 Epoch 5/30 140/140 [==============================] - 5s 33ms/step - loss: 1.8486e-04 - accuracy: 1.0000 - val_loss: 0.6242 - val_accuracy: 0.9536 - lr: 8.9125e-06 Epoch 6/30 140/140 [==============================] - 5s 34ms/step - loss: 4.0413e-04 - accuracy: 0.9998 - val_loss: 0.6088 - val_accuracy: 0.9554 - lr: 8.6596e-06 Epoch 7/30 140/140 [==============================] - 5s 34ms/step - loss: 1.9230e-04 - accuracy: 1.0000 - val_loss: 0.6086 - val_accuracy: 0.9554 - lr: 8.4140e-06 Epoch 8/30 140/140 [==============================] - 4s 29ms/step - loss: 7.4210e-05 - accuracy: 1.0000 - val_loss: 0.6146 - val_accuracy: 0.9554 - lr: 8.1752e-06 Epoch 9/30 140/140 [==============================] - 4s 29ms/step - loss: 1.3073e-05 - accuracy: 1.0000 - val_loss: 0.6163 - val_accuracy: 0.9554 - lr: 7.9433e-06 Epoch 10/30 140/140 [==============================] - 6s 41ms/step - loss: 1.0823e-04 - accuracy: 1.0000 - val_loss: 0.6083 - val_accuracy: 0.9554 - lr: 7.7179e-06 Epoch 11/30 140/140 [==============================] - 4s 29ms/step - loss: 2.0133e-05 - accuracy: 1.0000 - val_loss: 0.6104 - val_accuracy: 0.9571 - lr: 7.4989e-06 Epoch 12/30 140/140 [==============================] - 4s 29ms/step - loss: 3.0681e-05 - accuracy: 1.0000 - val_loss: 0.6179 - val_accuracy: 0.9571 - lr: 7.2862e-06 Epoch 13/30 140/140 [==============================] - 4s 28ms/step - loss: 6.5028e-06 - accuracy: 1.0000 - val_loss: 0.6158 - val_accuracy: 0.9571 - lr: 7.0795e-06 Epoch 14/30 140/140 [==============================] - 6s 40ms/step - loss: 3.5829e-04 - accuracy: 0.9998 - val_loss: 0.5889 - val_accuracy: 0.9589 - lr: 6.8786e-06 Epoch 15/30 140/140 [==============================] - 4s 28ms/step - loss: 3.9770e-04 - accuracy: 0.9998 - val_loss: 0.6047 - val_accuracy: 0.9571 - lr: 6.6834e-06 Epoch 16/30 140/140 [==============================] - 4s 28ms/step - loss: 1.9853e-05 - accuracy: 1.0000 - val_loss: 0.6073 - val_accuracy: 0.9589 - lr: 6.4938e-06 Epoch 17/30 140/140 [==============================] - 4s 29ms/step - loss: 8.6552e-06 - accuracy: 1.0000 - val_loss: 0.6099 - val_accuracy: 0.9571 - lr: 6.3096e-06 Epoch 18/30 140/140 [==============================] - 4s 28ms/step - loss: 7.5816e-06 - accuracy: 1.0000 - val_loss: 0.6092 - val_accuracy: 0.9589 - lr: 6.1306e-06 Epoch 19/30 140/140 [==============================] - 4s 28ms/step - loss: 5.2687e-06 - accuracy: 1.0000 - val_loss: 0.6116 - val_accuracy: 0.9589 - lr: 5.9566e-06 Epoch 20/30 140/140 [==============================] - 4s 28ms/step - loss: 3.4365e-06 - accuracy: 1.0000 - val_loss: 0.6136 - val_accuracy: 0.9589 - lr: 5.7876e-06 Epoch 21/30 140/140 [==============================] - 4s 28ms/step - loss: 6.9286e-05 - accuracy: 1.0000 - val_loss: 0.6070 - val_accuracy: 0.9589 - lr: 5.6234e-06 Epoch 22/30 140/140 [==============================] - 4s 29ms/step - loss: 7.8285e-06 - accuracy: 1.0000 - val_loss: 0.6092 - val_accuracy: 0.9589 - lr: 5.4639e-06 Epoch 23/30 140/140 [==============================] - 4s 29ms/step - loss: 9.5649e-06 - accuracy: 1.0000 - val_loss: 0.6108 - val_accuracy: 0.9589 - lr: 5.3088e-06 Epoch 24/30 140/140 [==============================] - 4s 28ms/step - loss: 1.8031e-06 - accuracy: 1.0000 - val_loss: 0.6095 - val_accuracy: 0.9589 - lr: 5.1582e-06 Epoch 25/30 140/140 [==============================] - 4s 28ms/step - loss: 8.5545e-06 - accuracy: 1.0000 - val_loss: 0.6099 - val_accuracy: 0.9589 - lr: 5.0119e-06 Epoch 26/30 140/140 [==============================] - 4s 28ms/step - loss: 1.6815e-05 - accuracy: 1.0000 - val_loss: 0.6127 - val_accuracy: 0.9589 - lr: 4.8697e-06 Epoch 27/30 140/140 [==============================] - 4s 29ms/step - loss: 2.5206e-05 - accuracy: 1.0000 - val_loss: 0.6034 - val_accuracy: 0.9589 - lr: 4.7315e-06 Epoch 28/30 140/140 [==============================] - 4s 28ms/step - loss: 3.0857e-06 - accuracy: 1.0000 - val_loss: 0.6025 - val_accuracy: 0.9589 - lr: 4.5973e-06 Epoch 29/30 140/140 [==============================] - 4s 29ms/step - loss: 1.4250e-06 - accuracy: 1.0000 - val_loss: 0.6036 - val_accuracy: 0.9589 - lr: 4.4668e-06 Epoch 30/30 140/140 [==============================] - 4s 29ms/step - loss: 3.3125e-06 - accuracy: 1.0000 - val_loss: 0.6050 - val_accuracy: 0.9589 - lr: 4.3401e-06
plot_graph(history_base_xception_fine_tuned)
test_model = keras.models.load_model("saved_model/model_base_xception_fine_tuned.h5")
test_loss, test_acc = test_model.evaluate(test_dataset)
print(f"Test accuracy: {test_acc:.3f}")
print(f"Test loss: {test_loss:.3f}")
18/18 [==============================] - 1s 21ms/step - loss: 0.6438 - accuracy: 0.9625 Test accuracy: 0.962 Test loss: 0.644
| Model | Test Accuracy |
|---|---|
| Hybrid CNN Classifer | 0.939 |
| Baseline Model 1: Transfer learning of ResNet50 | 0.913 |
| Baseline Model 2: Transfer learning of Xception | 0.962 |
| Baseline Model 1 after Fine-tuning | 0.916 |
| Baseline Model 2 after Fine-tuning | 0.962 |
The test accuracy of hybrid CNN classifer is 0.939 that is at the middle among all the 5 models' test accuracy. Moreover, the fine-tuning is not customized. The approach is from the AASD 4015 Project 1 for simplicity. Although this hybrid CNN classifer is not an outstanding model, there are still some advantages I would like to mention.
First, this hybrid CNN classifer can identify images that do not belong to the 70 classes. In Section 5, the hybrid CNN classifer can successfully identify that the image of human does not belong to the 70 classes. For traditional classification models, they will classify the image of human as one of 70 classes.
Second, this hybrid CNN classifer is built without using GPU but this model also use CNN. This may be an alternative for somebody who don't have a laptop with GPU or don't want to pay to use Colab.
Next, I want to mention some possible improvement. We may do hyper-parameter tuning to find out the best setting of this hybrid CNN classifer and also introduce more pre-trained models. Only ResNet50 and Xception are used in this hybrid CNN classifer. Third model like InceptionV3 may be a good choice to introduced.